Machine Learning

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce ...

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector c...

This updated second edition describes the intuition behind deep learning innovations without jargon or complexity. By the end of this book, Python-...

DescriptionMany industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general ...

Redescopera farmecul lecturii si alege-ti de pe elefant.ro carti in limba engleza scrise de autori consacrati. Iti punem la dispozitie sute de mii ...

Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data ...

DescriptionKnow how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analy...

In today's world, we are increasingly exposed to the words "machine learning" (ML), a term which sounds like a panacea designed to cure all problem...

This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in th...

Reducere. Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learn...

Reducere. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will lea...

In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large o...

A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in...

DescriptionGet to know the 'why' and 'how' of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitativ...

Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, rese...

The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will hel...

For practitioners and students with basic understanding of machine learning or data science, this book explains how to build models or predictive s...

Contributor(s): Author: Phil KimGet started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine le...

This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers...

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fun...

The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods a...

The backbone of medical decision making is prediction. Statistical prediction models can help in medical decision making. This book takes the viewp...

Publisher: Manning PublicationsAuthor(s): Ben WilsonNumber of pages: 300Publication date: 2022Dimensions: 187 x 235 x 39Cover type: Paperback / sof...

Reducere. Redescopera farmecul lecturii si alege-ti de pe elefant.ro carti in limba engleza scrise de autori consacrati. Iti punem la dispozitie sute de mii ...

Publisher: Manning PublicationsAuthor(s): Robert MunroNumber of pages: 325Publication date: 2021Dimensions: 188 x 235 x 28Cover type: Paperback / s...

DescriptionGain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case stud...

This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the im...

Machine learning is a relatively new field, without a unanimous definition. In many ways, actuaries have been machine learners. In both pricing and...

Machine Learning: The Art and Science of Algorithms that Make Sense of Data - Peter Flach

Machine Learning is an integral tool in a business analyst's arsenal because the rate at which data is being generated from different sources is in...

Reducere. This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the boo...

Reducere. DescriptionAs its title says, it's the hundred-page machine learning book. It was written by an expert in machine learning holding a Ph.D. in Artif...

Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineer...

MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what...

Publisher: Manning PublicationsAuthor(s): Luis SerranoNumber of pages: 350Publication date: 2022Dimensions: 237 x 189 x 28Cover type: Paperback / s...

Publisher: Manning PublicationsAuthor(s): Alessandro NegroNumber of pages: 503Publication date: 2021Dimensions: 186 x 234 x 31Cover type: Paperback...

Publisher: MIT Press LtdAuthor(s): Han BaoNumber of pages: 320Collection: Adaptive Computation and Machine Learning seriesPublication date: 2022Dim...

Reducere. To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for ...

This book constitutes the refereed proceedings of the Second International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 201...

Reducere. Redescopera farmecul lecturii si alege-ti de pe elefant.ro carti in limba engleza scrise de autori consacrati. Iti punem la dispozitie sute de mii ...

The aim of this book is to teach core concepts of machine learning while focuses on modern applications. It is meant for anyone who wants to master...

DescriptionStatistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze co...

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks....

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and dat...

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed...

DescriptionData-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine...

The objective of this edited book is to share outcomes on various research domains to develop efficient, adaptive and intelligent models to handle ...

This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is s...

Bayesian Reasoning and Machine Learning - David Barber

Contributor(s): Author: Charu C. AggarwalText analytics is a field that lies on the interface of information retrieval, machine learning, and natur...

Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide varie...

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.

Publisher: Taylor & Francis LtdAuthor(s): Ijaz A. RaufIllustration(s): 48 Line drawings, black and white; 9 Tables, black and white; 48 Illustratio...

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with ...

Reducere. Redescopera farmecul lecturii si alege-ti de pe elefant.ro carti in limba engleza scrise de autori consacrati. Iti punem la dispozitie sute de mii ...

With a machine learning approach and less focus on linguistic details, this natural language processing textbook introduces the fundamental mathema...

The theory of data assimilation and machine learning is introduced in an accessible and pedagogical manner, with a focus on the underlying statisti...

This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in...

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight...

DescriptionWritten by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine l...

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and pract...

Adversarial Machine Learning - Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar

DescriptionThis textbook, fully updated to feature Python version 3.7, covers the key ideas that link probability, statistics, and machine learning...

Redescopera farmecul lecturii si alege-ti de pe elefant.ro carti in limba engleza scrise de autori consacrati. Iti punem la dispozitie sute de mii ...

Reducere. Hands-On Machine Learning for Algorithmic Trading, Paperback

Reducere. DescriptionThis book introduces the Zynq MPSoC (Multi-Processor System-on-Chip), an embedded device from Xilinx. The Zynq MPSoC combines a sophisti...

Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, t...

Reducere. This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout this te...

For graduate students, practitioners, and sophisticated users, this book offers a tutorial approach to the foundations of random matrix theory for ...

A practical introduction for final-year undergraduate and graduate level students without a solid background in linear algebra and calculus.