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16043Nature-Inspired Algorithms and Applied Optimization (Studies in Computational Intelligence)
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This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms.
Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals. Read more... ]]>Tue, 10 Oct 2017 22:42:57 GMTMedical Image Watermarking: Techniques and Applications (Multimedia Systems and Applications)
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This book presents medical image watermarking techniques and algorithms for telemedicine and other emerging applications. This book emphasizes on medical image watermarking to ensure the authenticity of transmitted medical information. It begins with an introduction of digital watermarking, important characteristics, novel applications, different watermarking attacks and standard benchmark tools. This book also covers spatial and transform domain medical image watermarking techniques and their merits and limitations.
The authors have developed improved/novel watermarking techniques for telemedicine applications that offer higher robustness, better perceptual quality and increased embedding capacity and secure watermark. The suggested methods may find potential applications in the prevention of patient identity theft and health data management issues which is a growing concern in telemedicine applications.
This book provides a sound platform for understanding
the medical image watermarking paradigm for researchers in the field and advanced-level students. Industry professionals working in this field, as well as other emerging applications demanding robust and secure watermarking will find this book useful as a reference. Read more... ]]>Sun, 08 Oct 2017 15:07:40 GMTParallel Architecture, Algorithm and Programming: 8th International Symposium, PAAP 2017, Haikou, China, June 17-18, 2017, Proceedings (Communications in Computer and Information Science)
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This book constitutes the refereed proceedings of the 8th International Symposium on Parallel Architecture, Algorithm and Programming, PAAP 2017, held in Haikou, China, in June 2017.
The 50 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 192 submissions. The papers deal with research results and development activities in all aspects of parallel architectures, algorithms and programming techniques. Read more... ]]>Fri, 06 Oct 2017 07:50:46 GMTA Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills
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Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. This book takes a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. Graphics and examples make these computer science concepts understandable and relevant. You can use these techniques with any language examples in the book are in JavaScript, Python, and Ruby.
Use Big O notation, the primary tool for evaluating algorithms, to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Jay Wengrow brings to this book the key teaching practices he developed as a web development bootcamp founder and educator.
Use these techniques today to make your code faster and more scalable. Read more... ]]>Thu, 05 Oct 2017 12:23:00 GMTK-38176 Zaschita informatsii. Osnovy klassicheskoy kriptologii. Sekrety shifrov i kodov
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, , , . Read more... ]]>Tue, 03 Oct 2017 17:29:35 GMTMachine learning Beginners Guide Algorithms: Supervised <![CDATA[&]]> Unsupervised learning, Decision Tree <![CDATA[&]]> Random Forest Introduction (1)
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Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures
Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning
Instead of spending hundreds or even thousands of dollars on courses/materials why not read this book instead? Its a worthwhile read and the most valuable investment you can make for yourself
What You'll Learn
Supervised Learning
Unsupervised Learning
Reinforced Learning
Algorithms
Decision Tree
Random Forest
Neural Networks
Python
Deep Learning
And much, much more!
This is the most comprehensive and easy to read step by step guide in machine learning that exists.
Learn from one of the most reliable programmers alive and expert in the field Read more... ]]>Tue, 03 Oct 2017 16:28:38 GMTClean Architecture: A Craftsman's Guide to Software Structure and Design (Robert C. Martin Series)
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Practical Software Architecture Solutions from the Legendary Robert C. Martin (“Uncle Bob”)
By applying universal rules of software architecture, you can dramatically improve developer productivity throughout the life of any software system. Now, building upon the success of his best-selling books Clean Code and The Clean Coder, legendary software craftsman Robert C. Martin (“Uncle Bob”) reveals those rules and helps you apply them.
Martin’s Clean Architecture doesn’t merely present options. Drawing on over a half-century of experience in software environments of every imaginable type, Martin tells you what choices to make and why they are critical to your success. As you’ve come to expect from Uncle Bob, this book is packed with direct, no-nonsense solutions for the real challenges you’ll face—the ones that will make or break your projects.
Learn what software architects need to achieve—and core disciplines and practices for achieving it
Master essential software design principles for addressing function, component separation, and data management
See how programming paradigms impose discipline by restricting what developers can do
Understand what’s critically important and what’s merely a “detail”
Implement optimal, high-level structures for web, database, thick-client, console, and embedded applications
Define appropriate boundaries and layers, and organize components and services
See why designs and architectures go wrong, and how to prevent (or fix) these fai Read more... ]]>Sun, 01 Oct 2017 21:13:56 GMTAlgorithms and Models for the Web Graph: 13th International Workshop, WAW 2016, Montreal, QC, Canada, December 1415, 2016, Proceedings (Lecture Notes in Computer Science)
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This book constitutes the proceedings of the 13th International Workshop on Algorithms and Models for the Web Graph, WAW 2016, held in Montreal, QC, Canada, in December 2016.
The 13 full papers presented in this volume were carefully reviewed and selected from 14 submissions. The workshop gathered the researchers who are working on graph-theoretic and algorithmic aspects of related complex networks, including social networks, citation networks, biological networks, molecular networks, and other networks arising from the Internet. Read more... ]]>Sun, 01 Oct 2017 07:27:23 GMTIntelligent Robotics and Applications: 10th International Conference, ICIRA 2017, Wuhan, China, August 1618, 2017, Proceedings, Part I (Lecture Notes in Computer Science)
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The three volume set LNAI 10462, LNAI 10463, and LNAI 10464 constitutes the refereed proceedings of the 10th International Conference on Intelligent Robotics and Applications, ICIRA 2017, held in Wuhan, China, in August 2017.
The 235 papers presented in the three volumes were carefully reviewed and selected from 310 submissions. The papers in this first volume of the set are organized in topical sections on soft, micro-nano, bio-inspired robotics human-machine interaction swarm robotics underwater robotics. Read more... ]]>Sun, 01 Oct 2017 02:41:14 GMTTIME Artificial Intelligence: The Future of Humankind
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Artificial intelligence has moved beyond science fiction and into reality, changing history and touching our lives in so many ways—from how astronomers explore the edges of our universe to whether your music system understands the difference between John Legend and John Lennon. Digital assistants such as Siri and Alexa as well as the next generation of smartphones, genomic research, instant language translation and self-driving cars all incoporate artificial intelligence. In this new special edition from TIME, Artificial Intelligence: The Future of Humankind, readers delve into this fascinating field, with authoritative essays and infographics and compelling images of the machines, the science and the people that are changing the course of the future. With a history of A.I., a glossary of the terms that will soon become commonplace, a detailed Q and A and focused articles on how A.I. is changing entertainment, education, technology, communication—and everything else—TIME: Artificial Intelligence is your guide to the future.
Read more... ]]>Sat, 30 Sep 2017 20:03:52 GMTConcurrency Control in Distributed System Using Mutual Exclusion (Studies in Systems, Decision and Control)
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The book presents various state-of-the-art approaches for process synchronization in a distributed environment. The range of algorithms discussed in the book starts from token based mutual exclusion algorithms that work on tree based topology. Then there are ting solutions for more flexible logical topology like a directed graph, with or without cycle.
In a completely different approach, one of the chapters presents two recent voting-based DME algorithms. All DME algorithms presented in the book aim to ensure fairness in terms of first come first serve (FCFS) order among equal priority processes. At the same time, the solutions consider the priority of the requesting processes and allocate resource for the earliest request when no such request from a higher priority process is pending. Read more... ]]>Sat, 30 Sep 2017 05:32:34 GMTModels, Algorithms and Technologies for Network Analysis
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This volume compiles the major results of conference participants from the "Third International Conference in Network Analysis" held at the Higher School of Economics, Nizhny Novgorod in May 2013, with the aim to initiate further joint research among different groups. The contributions in this book cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, and applications.
Network analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network has brought together researchers, practitioners from numerous fields such as operations research, computer science, transportation, energy, biomedicine, computational neuroscience and social sciences. In addition, new approaches and computer environments such as parallel computing, grid computing, cloud computing, and quantum computing have helped to solve large scale network optimization problems. Read more... ]]>Sat, 30 Sep 2017 05:08:52 GMT' Applying Uml and Patterns:an Introduction to Object-Oriented Analysis and Design and the Unified Process with Extreme Programming Explained:Embrace Change
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Good software starts with a good design, and the subtitle of Applying UML and Patterns, "An Introduction to Object-Oriented Analysis and Design (OOA/D) and the Unified Process" reinforces that that's what this book is about.
The first edition of Applying UML and Patterns became a standard. The second edition uses the unified process (UP) as the iterative process within which OOA/D is introduced, and extends the case study used in the first edition. Other changes have been made to reflect the growing consensus on the most effective ways to work with OOA/D and patterns.
My Link Read more... ]]>Sat, 30 Sep 2017 02:56:46 GMTAlgorithms Illuminated: Part 1: The Basics
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Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and database system implementation. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject–-a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. The exposition is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details.
Part 1 of the book series covers asymptotic analysis and big-O notation, divide-and-conquer algorithms and the master method, randomized algorithms, and several famous algorithms for sorting and selection. Read more... ]]>Fri, 29 Sep 2017 19:26:41 GMTAnalytics for the Internet of Things (IoT)
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This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful
What You Will Learn:
- Overcome the challenges IoT data brings to analytics
- Understand the variety of transmission protocols for IoT along with their strengths and weaknesses
- Learn how data flows from the IoT device to the final data set
- Develop techniques to wring value from IoT data
- Apply geospatial analytics to IoT data
- Use machine learning as a predictive method on IoT data
- Implement best strategies to get the most from IoT analytics
- Master the economics of IoT analytics in order to optimize business value
We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques.
Next we review how IoT devices generate data and how the information travels over networks. You’ll get to know strategies to collect and store the data to optimize the potential for analytics, Read more... ]]>Thu, 28 Sep 2017 18:45:45 GMTMachine Learning Algorithms
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This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here.
What You Will Learn:
- Acquaint yourself with important elements of Machine Learning
- Understand the feature selection and feature engineering process
- Assess performance and error trade-offs for Linear Regression
- Build a data model and understand how it works by using different types of algorithm
- Learn to tune the parameters of Support Vector machines
- Implement clusters to a dataset
- Explore the concept of Natural Processing Language and Recommendation Systems
- Create a ML architecture from scratch.
As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge.
In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorith Read more... ]]>Thu, 28 Sep 2017 18:42:48 GMTGame Theory Solutions for the Internet of Things: Emerging Research and Opportunities (Advances in Web Technologies and Engineering)
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There is an enhanced level of connectivity available in modern society through the increased usage of various technological devices. Such developments have led to the integration of smart objects into the Internet of Things (IoT), an emerging paradigm in the digital age.
Game Theory Solutions for the Internet of Things: Emerging Research and Opportunities examines the latest strategies for the management of IoT systems and the application of theoretical models to enhance real-world applications and improve system efficiency. Highlighting innovative algorithms and methods, as well as coverage on cloud computing, cross-domain applications, and energy control, this book is a pivotal source of information for researchers, practitioners, graduate students, professionals, and academics interested in the game theoretic solutions for IoT applications. Read more... ]]>Thu, 28 Sep 2017 18:40:14 GMTAlgorithmic Mathematics
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Algorithms play an increasingly important role in nearly all fields of mathematics. This book allows readers to develop basic mathematical abilities, in particular those concerning the design and analysis of algorithms as well as their implementation. It presents not only fundamental algorithms like the sieve of Eratosthenes, the Euclidean algorithm, sorting algorithms, algorithms on graphs, and Gaussian elimination, but also discusses elementary data structures, basic graph theory, and numerical questions. In addition, it provides an introduction to programming and demonstrates in detail how to implement algorithms in C++.
This textbook is suitable for students who are new to the subject and covers a basic mathematical lecture course, complementing traditional courses on analysis and linear algebra. Both authors have given this "Algorithmic Mathematics" course at the University of Bonn several times in recent years. Read more... ]]>Thu, 28 Sep 2017 09:54:33 GMTIntroduction to Evolutionary Informatics
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Science has made great strides in modeling space, time, mass and energy. Yet little attention has been paid to the precise representation of the information ubiquitous in nature.Introduction to Evolutionary Informatics fuses results from complexity modeling and information theory that allow both meaning and design difficulty in nature to be measured in bits. Built on the foundation of a series of peer-reviewed papers published by the authors, the book is written at a level easily understandable to readers with knowledge of rudimentary high school math. Those seeking a quick first read or those not interested in mathematical detail can skip marked sections in the monograph and still experience the impact of this new and exciting model of nature's information.This book is written for enthusiasts in science, engineering and mathematics interested in understanding the essential role of information in closely examined evolution theory.
Read more... ]]>Wed, 27 Sep 2017 05:17:52 GMTLogic and Language Models for Computer Science
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This text presents the formal concepts underlying Computer Science.
It starts with a wide introduction to Logic with an emphasis on reasoning and proof, with chapters on Program Verification and Prolog.
The treatment of computability with Automata and Formal Languages stands out in several ways:
it emphasizes the algorithmic nature of the proofs and the reliance on simulations
it stresses the centrality of nondeterminism in generative models and the relationship to deterministic recognition models
The style is appropriate for both undergraduate and graduate classes. Read more... ]]>Mon, 25 Sep 2017 20:06:34 GMTBin-Picking: New Approaches for a Classical Problem (Studies in Systems, Decision and Control)
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This book is devoted to one of the most famous examples of automation handling tasks - the "bin-picking" problem. To pick up objects, scrambled in a box is an easy task for humans, but its automation is very complex. In this book three different approaches to solve the bin-picking problem are described, showing how modern sensors can be used for efficient bin-picking as well as how classic sensor concepts can be applied for novel bin-picking techniques. 3D point clouds are firstly used as basis, employing the known Random Sample Matching algorithm paired with a very efficient depth map based collision avoidance mechanism resulting in a very robust bin-picking approach. Reducing the complexity of the sensor data, all computations are then done on depth maps. This allows the use of 2D image analysis techniques to fulfill the tasks and results in real time data analysis. Combined with force/torque and acceleration sensors, a near time optimal bin-picking system emerges. Lastly, surface normal maps are employed as a basis for pose estimation. In contrast to known approaches, the normal maps are not used for 3D data computation but directly for the object localization problem, enabling the application of a new class of sensors for bin-picking. Read more... ]]>Mon, 25 Sep 2017 05:08:06 GMTPython Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition
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Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.
About This Book
Second edition of the bestselling book on Machine Learning
A practical approach to key frameworks in data science, machine learning, and deep learning
Use the most powerful Python libraries to implement machine learning and deep learning
Get to know the best practices to improve and optimize your machine learning systems and algorithms
Who This Book Is For
If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.
What You Will Learn
Understand the key frameworks in data science, machine learning, and deep learning
Harness the power of the latest Python open source libraries in machine learning
Master machine learning techniques using challenging real-world data
Master deep neural network implementation using the TensorFlow library
Ask new questions of your data through machine learning models and neural networks
Learn the mechanics of classification algorithms to implement the best tool for the job
Predict continuous tar Read more... ]]>Sun, 24 Sep 2017 12:37:11 GMTAlgorithmen fur Dummies (German Edition)
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Wir leben in einer algorithmenbestimmten Welt. Deshalb lohnt es sich zu verstehen, wie Algorithmen arbeiten. Das Buch prasentiert die wichtigsten Anwendungsgebiete fur Algorithmen: Optimierung, Sortiervorgange, Graphentheorie, Textanalyse, Hashfunktionen. Zu jedem Algorithmus werden jeweils Hintergrundwissen und praktische Grundlagen vermittelt sowie Beispiele fur aktuelle Anwendungen gegeben. Fur interessierte Leser gibt es Umsetzungen in Python, sodass die Algorithmen auch verandert und die Auswirkungen der Veranderungen beobachtet werden konnen. Dieses Buch richtet sich an Menschen, die an Algorithmen interessiert sind, ohne eine Doktorarbeit zu dem Thema schreiben zu wollen. Wer es gelesen hat, versteht, wie wichtige Algorithmen arbeiten und wie man von dieser Arbeit beispielsweise bei der Entwicklung von Unternehmensstrategien profitieren kann.
Read more... ]]>Sun, 24 Sep 2017 09:49:26 GMTModerne Verfahren der Kryptographie: Von RSA zu Zero-Knowledge (German Edition)
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Informations-und Kommunikationssicherheit sind mittlerweile zu einem zentralen Thema in unserer Gesellschaft geworden. Um konkrete Schutzziele wie Vertraulichkeit, Authentizitt oder Unversehrtheit der Informationen zu erreichen, kommt der dabei angewandten Kryptographie - neben anderen, technologischen oder organisatorischen Verfahren - eine besondere Bedeutung zu. Sie stellt ein mathematisch fundiertes Fundament der Sicherheit dar. In diesem Buch werden die wichtigsten kryptographischen Verfahren, Protokolle und Algorithmen der letzten Jahrzehnte erlutert und mathematisch-logisch begrndet. Die besprochenen Themen reichen von Public-Key-Kryptographie ber Zero-Knowledge-Proofs bis hin zu dem neuen Gebiet der Pairing-basierten Kryptosysteme. Besonderes Anliegen der Autoren war eine mglichst einfache (aber nicht zu einfache), anschaulich illustrierte Darstellung der teils komplexen Probleme. Read more... ]]>Sat, 23 Sep 2017 16:19:27 GMTMultimodal Optimization by Means of Evolutionary Algorithms (Natural Computing Series)
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The field of research covered by this book is niching/multimodal optimization, with an emphasis on evolutionary computation methods, explaining the state of the art and relating this research to a model-based view of the basin identification problem. The algorithms suggested by the author are compared to alternative recent methods on current benchmarks. This book is useful for researchers and practitioners in the area of evolutionary computing. Read more... ]]>Sat, 23 Sep 2017 15:46:56 GMTA Concise and Practical Introduction to Programming Algorithms in Java (Undergraduate Topics in Computer Science)
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A Concise and Practical Introduction to Programming Algorithms in Java has two main goals. The first is for novice programmers to learn progressively the basic concepts underlying most imperative programming languages using Java. The second goal is to introduce new programmers to the very basic principles of thinking the algorithmic way and turning the algorithms into programs using the programming concepts of Java.
The book is divided into two parts and includes: The fundamental notions of variables, expressions and assignments with type checking - Conditional and loop statements - Explanation of the concepts of functions with pass-by-value arguments and recursion - Fundamental sequential and bisection search techniques - Basic iterative and recursive sorting algorithms. Read more... ]]>Fri, 22 Sep 2017 23:42:17 GMTMastering Machine Learning with R - Second Edition.
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Master machine learning techniques with R to deliver insights in complex projects!
Key Features
• Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST
• Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class • Classification and Unsupervised Learning
• Implement advanced concepts in machine learning with this example-rich guide
Book Description
This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning design efficient algorithms learn about creating Recommendation Engines use multi-class classification and deep learning and more.
You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you’ll understand how these concepts work and what they do.
With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets.
What you will learn
• Gain deep insights into the application of machine learning tools in the industry
• Manipulate data in R efficiently to prepare it for analysis
• Master the skill of recognizing techniques for Read more... ]]>Fri, 22 Sep 2017 11:40:22 GMTA Construction Manual for Robots' Ethical Systems: Requirements, Methods, Implementations (Cognitive Technologies)
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This book will help researchers and engineers in the design of ethical systems for robots, addressing the philosophical questions that arise and exploring modern applications such as assistive robots and self-driving cars.
The contributing authors are among the leading academic and industrial researchers on this topic and the book will be of value to researchers, graduate students and practitioners engaged with robot design, artificial intelligence and ethics. Read more... ]]>Thu, 21 Sep 2017 21:15:50 GMTCommunicating with Data Bases in Natural Language (Ellis Horwood series in artificial intelligence)
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This book is intended to give the reader an insight into the construction of a natural language front end,.
The first chapter introduces natural language systems in general, but the remainder of the book concentrates on natural language (NL) front ends to databases, The second chapter attempts to bring out the essential issues by examining a variety of solutions implemented in existing NL front ends, The next four chapters focus in on a particular implementation, QPROC, in order to give the reader the more detailed understanding that cannot be gleaned from general surveys" In Chapter 4 it is presumed that the reader has some knowledge of logic, although all the logical constructs are fully illustrated with examples,. In Chapter 5 QPROC's NL analysis is described but the linguistic concepts are introduced in non-technical terms" A section on data modelling assumes that the reader has some prior knowledge of the relational data model. Read more... ]]>Thu, 21 Sep 2017 20:57:38 GMTDynamic Programming for Coding Interviews: A Bottom-Up approach to problem solving
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I wanted to compute 80th term of the Fibonacci series. I wrote the rampant recursive function,
int fib(int n){
return (1==n || 2==n) ? 1 : fib(n-1) + fib(n-2)
}
and waited for the result. I wait… and wait… and wait…
With an 8GB RAM and an Intel i5 CPU, why is it taking so long? I terminated the process and tried computing the 40th term. It took about a second. I put a check and was shocked to find that the above recursive function was called 204,668,309 times while computing the 40th term.
More than 200 million times? Is it reporting function calls or scam of some government?
The Dynamic Programming solution computes 100th Fibonacci term in less than fraction of a second, with a single function call, taking linear time and constant extra memory.
A recursive solution, usually, neither pass all test cases in a coding competition, nor does it impress the interviewer in an interview of company like Google, Microsoft, etc.
The most difficult questions asked in competitions and interviews, are from dynamic programming. This book takes Dynamic Programming head-on. It first explain the concepts with simple examples and then deep dives into complex DP problems. Read more... ]]>Thu, 21 Sep 2017 18:40:28 GMTSpeech and Language-based Interactions with Machines: Towards the Conversational Computer (Ellis Horwood books in information technology)
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This book has its origins in a programme of work conducted at British Telecom Research Laboratories, aimed at developing easily usable, intelligent systems, based on human-computer interaction via spoken and written language, particularly the former. This involved the authors, as members of the Human Factors Division, in conducting a series of experiments designed to answer questions about what types of behaviour an intelligent system with these characteristics should display, and how these might best be achieved. Read more... ]]>Thu, 21 Sep 2017 11:16:59 GMTAlgorithms for Next-Generation Sequencing Data: Techniques, Approaches, and Applications
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The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage error correction alignment and assembly.
The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences. Read more... ]]>Thu, 21 Sep 2017 09:44:38 GMTComputational Intelligence, Evolutionary Computing and Evolutionary Clustering Algorithms
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This brief text presents a general guideline for writing advanced algorithms for solving engineering and data visualization problems. The book starts with an introduction to the concept of evolutionary algorithms followed by details on clustering and evolutionary programming. Subsequent chapters present information on aspects of computer system design, implementation and data visualization. The book concludes with notes on the possible applications of evolutionary algorithms in the near future. This book is intended as a supplementary guide for students and technical apprentices learning machine language, or participating in advanced software programming, design and engineering courses.
Read more... ]]>Thu, 21 Sep 2017 06:59:41 GMTOptimierung: Statische, dynamische, stochastische Verfahren fur die Anwendung (German Edition) [German]
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Die vierte Auflage dieses gut eingfhrten Buches prsentiert eine breite bersicht ber statische, dynamische und stochastische Verfahren der Optimierungstheorie. Dazu gehren sowohl klassische (aber nach wie vor bedeutende) Optimierungsverfahren, die sich in der Anwendung bereits vielfach bewhrt haben, als auch jngere Entwicklungen, die fr zuknftige Anwendungen besonders vielversprechend erscheinen.
Bei einem Groteil der Verfahren werden mathematische Ableitungen und Hintergrundinformationen in verstndlicher Form mitgeliefert so ist im Zusammenhang mit der weiterfhrenden, spezialisierten Literatur ein vertieftes Studium der Sachverhalte erleichtert. Der Text beinhaltet viele Beispiele zur Veranschaulichung der Verfahrensweisen. Darber hinaus enthalten einige Kapitel eine Anzahl anspruchsvoller Anwendungen mit praktischer Relevanz. Read more... ]]>Wed, 20 Sep 2017 16:26:32 GMTGenetic Algorithms and Evolution Strategy in Engineering and Computer Science: Recent Advances and Industrial Applications
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A collection of state-of-the-art lectures by experts in the field of theoretical, numerical and applied aspects of genetic algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. The theory presented in this book has numerous applications in fluid dynamics, structure mechanics, electromagnetic, automation control, resource optimization, image processing and economics
Read more... ]]>Wed, 20 Sep 2017 14:12:31 GMTAn Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence
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Machine learning algorithms and artificial intelligence influence many aspects of life today and have gained an aura of objectivity and infallibility. The use of these tools introduces a new level of risk and complexity in policy. This report illustrates some of the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias, and examines some approaches for combating these problems.
Read more... ]]>Wed, 20 Sep 2017 11:39:35 GMTFundamentals of Computer Algorithms (Computer software engineering series)
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Fundamentals of Computer Algorithms (Computer software engineering series) Read more... ]]>Tue, 19 Sep 2017 21:05:11 GMTUnderstanding Computers and Cognition: A New Foundation for Design
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This volume is a theoretical and practical approach to the design of computer technology. Read more... ]]>Tue, 19 Sep 2017 19:29:22 GMTNeural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications
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The second edition of this book provides a comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence, which in recent years, has turned synonymous to it. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm (EA), and a number of hybrid systems, which include classes such as neuro-fuzzy, evolutionary-fuzzy, and neuro-evolutionary systems. The hybridization of the technologies is demonstrated on architectures such as fuzzy backpropagation network (NN-FS hybrid), genetic algorithm-based backpropagation network (NN-EA hybrid), simplified fuzzy ARTMAP (NN-FS hybrid), fuzzy associative memory (NN-FS hybrid), fuzzy logic controlled genetic algorithm (EA-FS hybrid) and evolutionary extreme learning machine (NN-EA hybrid)
Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering.
This book, with a wealth of information that is clearly presented and illustrated by many examples and applications, is designed for use as a text for the courses in soft computing at both the senior undergraduate and first-year postgraduate levels of computer science and engineering. It sh Read more... ]]>Mon, 18 Sep 2017 07:38:01 GMTNEO 2016: Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in ... (Studies in Computational Intelligence)
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This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO 2016) workshop held in September 2016 in Tlalnepantla, Mexico. The development of powerful search and optimization techniques is of great importance in today’s world and requires researchers and practitioners to tackle a growing number of challenging real-world problems.
In particular, there are two well-established and widely known ?elds that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others.
The goal of the NEO workshop series is to bring together experts from these and related ?elds to discuss, compare and merge their complementary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. In doing so, NEO promotes the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging ?elds that affect all of us, such as healthcare, smart cities, big data, among many others. The extended papers presented in the book contribute to achieving this goal. Read more... ]]>Sat, 16 Sep 2017 10:28:43 GMTLes algorithmes pour les Nuls grand format [French]
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Decouvrez l'univers des algorithmes presents dans tous les systemes informatiques d'aujourd'hui
De nos jours tous les programmes informatiques comme par exemple ceux qui utilisent la compression de donnees ou les moteurs de recherche utilisent des algorithmes. Un algorithme permet de faire un choix dans un probleme qui lui est presente, et plus l'algorithme est puissant, plus le choix est rapide et bon.
Le but de ce livre est d'expliquer comment fonctionnent les algorithmes et comment on peut les tester et les mettre en oeuvre. Vous verrez egalement comment modeliser un probleme de facon a ce qu'il puisse etre resolu par un ordinateur. Les algortihmes sont egalement la piece maitresses des systemes de Big Data.
Ce livre s'adresse a toux ceux, etudiants, managers ouanalystes de donnees qui ont besoin des algorithmes dans la gestion des donnees qu'ils manipulent. Read more... ]]>Sat, 16 Sep 2017 09:36:02 GMTGems of Combinatorial Optimization and Graph Algorithms
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Are you looking for new lectures for your course on algorithms, combinatorial optimization, or algorithmic game theory? Maybe you need a convenient source of relevant, current topics for a graduate student or advanced undergraduate student seminar? Or perhaps you just want an enjoyable look at some beautiful mathematical and algorithmic results, ideas, proofs, concepts, and techniques in discrete mathematics and theoretical computer science? Gems of Combinatorial Optimization and Graph Algorithms is a handpicked collection of up-to-date articles, carefully prepared by a select group of international experts, who have contributed some of their most mathematically or algorithmically elegant ideas. Topics include longest tours and Steiner trees in geometric spaces, cartograms, resource buying games, congestion games, selfish routing, revenue equivalence and shortest paths, scheduling, linear structures in graphs, contraction hierarchies, budgeted matching problems, and motifs in networks. This volume is aimed at readers with some familiarity of combinatorial optimization, and appeals to researchers, graduate students, and advanced undergraduate students alike. Read more... ]]>Sat, 16 Sep 2017 06:41:04 GMTThe Universe as Automaton: From Simplicity and Symmetry to Complexity (SpringerBriefs in Complexity)
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This Brief is an essay at the interface of philosophy and complexity research, trying to inspire the reader with new ideas and new conceptual developments of cellular automata. Going beyond the numerical experiments of Steven Wolfram, it is argued that cellular automata must be considered complex dynamical systems in their own right, requiring appropriate analytical models in order to find precise answers and predictions in the universe of cellular automata.
Indeed, eventually we have to ask whether cellular automata can be considered models of the real world and, conversely, whether there are limits to our modern approach of attributing the world, and the universe for that matter, essentially a digital reality. Read more... ]]>Thu, 14 Sep 2017 15:44:09 GMTGood Intended Artificial Intelligence: Connecting The World
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Why a small book on artificial intelligence, while so many resources already exist? Current times show that the present artificial intelligence is used in very negative ways not in favor of humanity and the well-being of humans. True, many smart algorithms are made and used to increase the wealth and health of large groups of humans around the world. But combined with this increase in wealth and health is the downgrade of the same humanity and humans in ways unforeseen by many people making this artificial intelligence.
While many of the engineers who make the artificial intelligence of today are on themselves good intended, they don’t have the insight, knowledge and wisdom to predict and foresee how their productions can be used in negative scenarios against humanity itself. Many artificial intelligence initiatives guided and started by the ruling selfish, greedy and evil elite of many countries around the world are created to increase the wealth and health of the view while enslaving large parts of humanity. This sounds dramatic, but as the chapters in this book will show you, it is already the hard reality: the artificial intelligence of today is used to enslave humanity of the future.
That is the main reason why this small book came to existence: to formulate some possibilities how the artificial intelligence initiatives could and should be changed and guided properly towards more responsible solutions benefitting the whole of humanity and lifting it up to levels no Read more... ]]>Wed, 13 Sep 2017 10:41:30 GMTMeta-heuristic and Evolutionary Algorithms for Engineering Optimization
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A detailed review of a wide range of meta–heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta–heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several fields of engineering. The book features clear and concise principles and presents detailed descriptions of leading methods such as the pattern search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta–heuristic and Evolutionary Algorithms for Engineering Optimization provides an overview of optimization and defines it by presenting examples of optimization problems in different engineering domains. Chapter 2 presents an introduction to meta–heuristic and evolutionary algorithms and links them to engineering problems. Chapters 3 to 22 are each devoted to a separate algorithm and they each start with a brief literature review of the development of the algorithm, and its applications to engineering problems. The principles, steps, and execution of the algorithms are described in detail, and a pseudo code of the algorithm is presented, which serves as a guideline for coding the algorithm t Read more... ]]>Sun, 10 Sep 2017 21:45:18 GMTConstraint Programming and Decision Making: Theory and Applications (Studies in Systems, Decision and Control)
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This book describes new algorithms and ideas for making effective decisions under constraints, including applications in control engineering, manufacturing (how to optimally determine the production level), econometrics (how to better predict stock market behavior), and environmental science and geosciences (how to combine data of different types). It also describes general algorithms and ideas that can be used in other application areas.
The book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making (CoProd’XX) from 2013 to 2016. These workshops, held in the US (El Paso, Texas) and in Europe (Wurzburg, Germany, and Uppsala, Sweden), have attracted researchers and practitioners from all over the world.
It is of interest to practitioners who benefit from the new techniques, to researchers who want to extend the ideas from these papers to new application areas and/or further improve the corresponding algorithms, and to graduate students who want to learn more – in short, to anyone who wants to make more effective decisions under constraints. Read more... ]]>Sat, 09 Sep 2017 07:26:07 GMTAI Application Programming (Charles River Media Programming)
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The popularity of artificial intelligence continues to grow as more and more uses are found for the technology. AI Application Programming Second Edition is completely updated to supply both the conceptual background and the real-world examples needed to begin using AI in software projects. Each technology is illustrated with a model implementation and application. Selected applications cover data mining, genetic algorithms, game programming, embedded rules-based engines, and the World Wide Web. Read more... ]]>Fri, 08 Sep 2017 11:11:50 GMTSpatial Evolutionary Modeling (Spatial Information Systems)
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Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic phenomena. Secondly, geographical problems are often spatially separate (broken down into local or regional problems) and evolutionary algorithms can exploit this structure. Finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled. Read more... ]]>Thu, 07 Sep 2017 13:00:30 GMTCombinatorial Algorithms: Enlarged Second Edition
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Newly enlarged, updated second edition of a valuable text presents algorithms for shortest paths, maximum flows, dynamic programming and backtracking. Also discusses binary trees, heuristic and near optimums, matrix multiplication, and NP-complete problems. 153 black-and-white illus. 23 tables.
Newly enlarged, updated second edition of a valuable, widely used text presents algorithms for shortest paths, maximum flows, dynamic programming and backtracking. Also discussed are binary trees, heuristic and near optimums, matrix multiplication, and NP-complete problems. New to this edition: Chapter 9 shows how to mix known algorithms and create new ones, while Chapter 10 presents the "Chop-Sticks" algorithm, used to obtain all minimum cuts in an undirected network without applying traditional maximum flow techniques. This algorithm has led to the new mathematical specialty of network algebra. The text assumes no background in linear programming or advanced data structure, and most of the material is suitable for undergraduates. 153 black-and-white illus. 23 tables. Exercises, with answers at the ends of chapters. Read more... ]]>Wed, 06 Sep 2017 10:11:34 GMTAn Introduction to Machine Learning
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This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms.
This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work. Read more... ]]>Mon, 04 Sep 2017 10:40:31 GMT