An overview of the theory and application of kernel classification methods.Linear classifiers in kernel spaces have emerged as a major topic within the field of...
Master Powerful OfftheShelf Business Solutions for AI and Machine LearningPragmatic AI will help you solve realworld problems with contemporary machine learning, artificial intelligence, and cloud...
This threevolume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in...
This threevolume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in...
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium,...
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium,...
Traditional books on machine learning can be divided into two groups those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those...
As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the...
This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book...
Take a datafirst and usecasedriven approach with LowCode AI to understand machine learning and deep learning concepts. This handson guide presents three problemfocused ways to...
Take a datafirst and usecasedriven approach with LowCode AI to understand machine learning and deep learning concepts. This handson guide presents three problemfocused ways to...
Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and...
Machine Learning (Ml) Is Progressively Reshaping The Fields Of Quantitative Finance And Algorithmic Trading. Ml Tools Are Increasingly Adopted By Hedge Funds And Asset Managers,...
This Book Introduces Numerous Algorithmic Hybridizations Between Both Worlds That Show How Machine Learning Can Improve And Support Evolution Strategies. The Set Of Methods Comprises...
A Concise Overview Of Machine Learningcomputer Programs That Learn From Datawhich Underlies Applications That Include Recommendation Systems, Face Recognition, And Driverless Cars.Today, Machine Learning Underlies...
A Survey Of Computational Methods For Understanding, Generating, And Manipulating Human Language, Which Offers A Synthesis Of Classical Representations And Algorithms With Contemporary Machine Learning...
Build Ai Applications Using Python To Intelligently Interact With The World Around You.Key Features? Covers The Practical Aspects Of Machine Learning And Deep Learning Concepts...
Fight Fraud With Machine Learning Teaches You To Build And Deploy StateOfTheArt Fraud Detection Systems.Financial And Corporate Fraud Happen Every Day, And The Fraudsters Inevitably...
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This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in...
The twovolume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla,...
This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as...
The three volume proceedings LNAI 11906 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD...
A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricingInvestors in financial markets are faced with an abundance of potentially valuerelevant...
The idea for this book came from the time the authors spent at the Statistics and Applied Mathematical Sciences Institute (SAMSI) in Research Triangle Park...
Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about...
Machine Learning:Discriminative and Generative covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative supportvector machines. However, unlike...
Book Description In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and the World Wide Web...
Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a...
Machine Learning: A ConstraintBased Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current...
Written by leading researchers in the field, Machine Learning for Tomographic Imaging presents a unified overview of deeplearningbased tomographic imaging. Key concepts, including classic reconstruction...
From the Foreword:"While largescale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences...
Put the power of AWS Cloud machine learning services to work in your business and commercial applications!Machine Learning in the AWS Cloud introduces readers to...
This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks...
This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution manual for...
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