This book constitutes the refereed proceedings of the Third International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019, held in BeerSheva, Israel, in...
Image Quality Assessment is wellknown for measuring the perceived image degradation of natural scene images but is still an emerging topic for computergenerated images. This...
This thesis addresses the ?gureground segmentation problem in the context of complex systems for automatic object recognition. Firstly the problem of image segmentation in general...
This book introduces an algorithm to determine a humanoid robots position in an environment of known characteristics. The algorithm is based on evolutionary method as...
Recommender systems assist the user in decision making processes and automate information processing steps like the classification of artifacts. Intelligent recommendations help users to cope...
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones.Boosting...
Malware (Malicious Software) has become one of the major threats to todays computing world. Although Antivirus programs provide primary line of defense and detect previously...
As the interest in machine learning and data mining springs up, the problem of how to assess learning algorithms and compare classifiers become more pressing....
Master machine learning concepts and develop realworld solutionsMachine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them....
Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly...
The first textbook to teach students how to build data analytic solutions on large data sets using cloudbased technologies.This is the first textbook to teach...
A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and...
A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and...
This book is a practical guide to classification learning systems and their applications. These computer programs learn from sample data and make predictions for new...
Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful.'Thomas H. Davenport, Research Fellow, Author of Competing...
Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful.'Thomas H. Davenport, Research Fellow, Author of Competing...
Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal...
An accessible, authoritative, and uptodate computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances.Machine...
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A breakthrough in machine learning would be worth ten Microsofts.' Bill GatesDespite being one of the hottest disciplines in the Tech industry right now, Artificial...
This textbook is a wellrounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice...
With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The...
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive...
The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data...
The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data...
With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops,...
It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed...
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying...
Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other industries. Accompanied by...
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.Machine learning is often...
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.Machine learning is often...
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of...
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about...
Graphics in this book are printed in black and white.Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning....
A comprehensive and selfcontained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.Gaussian processes (GPs) provide a principled,...
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