Machine Learning: An Algorithmic Perspective, Second Edition (Marsland Stephen)(Pevná vazba)

Machine Learning: An Algorithmic Perspective, Second Edition (Marsland Stephen)(Pevná vazba)

A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning

Machine Learning for Algorithmic Trading - Second Edition (Jansen Stefan)(Paperback)

This thoroughly revised and expanded second edition demonstrates on over 800 pages how machine learning can add value to algorithmic trading in a practical yet comprehensive way. It has four parts that cover how to work with a diverse set of market, fundamental, and alternative data sources, design

Foundations of Machine Learning, Second Edition (Mohri Mehryar)(Pevná vazba)

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in

The Machine Learning: A Probabilistic Perspective (Murphy Kevin P.)(Pevná vazba)

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns

Reinforcement Learning, Second Edition: An Introduction (Sutton Richard S.)(Pevná vazba)

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning

Natural Language Processing: A Machine Learning Perspective (Zhang Yue)(Pevná vazba)

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature,

The Hundred-Page Machine Learning Book (Burkov Andriy)(Pevná vazba)

As 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 Artificial Intelligence with almost two decades of industry experience in computer science and hands-on machine learning.This is a unique book in many aspects. It is

Introduction to Machine Learning, Fourth Edition (Alpaydin Ethem)(Pevná vazba)

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such

William Wordsworth: A Life (Gill Stephen)(Pevná vazba)

In this second edition of William Wordsworth: A Life, Stephen Gill draws on knowledge of the poet's creative practices and his reputation and influence in his life-time and beyond. Refusing to treat the poet's later years as of little interest, this biography presents a narrative of the whole of

Numerical Analysis (Gautschi Walter)(Pevná vazba)

Preface to the Second Edition.- Preface.- Prologue.- Chapter 1. Machine Arithmetic and Related Matters.- Chapter 2. Approximation and Interpolation.- Chapter 3. Numerical Differentiation and Integration.- Chapter 4. Nonlinear Equations.- Chapter 5. Initial Value Problems for ODEs --- One-Step

Apocalyptigirl: An Aria for the End Times (Second Edition) (MacLean Andrew)(Pevná vazba)

A post-apocalyptic science fiction tale of a woman, and her cat, in search of a powerful machine. A Second Edition of the hit graphic novel by the creator of Head Lopper. This second edition hardcover includes more story, a new cover and process material never seen before. Alone at the end of the

Learning Theories: Pearson New International Edition - An Educational Perspective (Schunk Dale)(Paperback / softback)

Economic Growth, Second Edition (Barro Robert J.)(Pevná vazba)

The long-awaited second edition of an important textbook on economic growth--a major revision incorporating the most recent work on the subject.This graduate level text on economic growth surveys neoclassical and more recent growth theories, stressing their empirical implications and the relation

Measurement Systems and Sensors, Second Edition (Nawrocki Waldemar)(Pevná vazba)

This thoroughly updated and expanded second edition is an authoritative resource on industrial measurement systems and sensors with particular attention given to temperature, stress, pressure, acceleration, and liquid flow

Hands-On Machine Learning with R (Boehmke Brad)(Pevná vazba)

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular machine learning methods. This book serves as a practitioner's guide to the machine learning process and is meant to help the reader learn to apply the machine

Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes (Panesar Arjun)(Paperback)

This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.The book has been updated with the latest research in massive data,

Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (Zhou Jianlong)(Pevná vazba)

Part I Transparency in Machine Learning.- Part II Visual Explanation of Machine Learning Process.- Part III Algorithmic Explanation of Machine Learning Models.- Part IV User Cognitive Responses in ML-Based Decision Making.- Part V Human and Evaluation of Machine Learning.- Part VI Domain Knowledge

The Complete Magician's Tables (Skinner Stephen)(Pevná vazba)

An expanded edition of Dr. Stephen Skinner's classic set of tabular correspondences. Anyone practicing magic won't want to miss this comprehensive book of magician's correspondences. Featuring four times more tables than Aleister Crowley's Liber 777, this is the most complete collection of

Learning Disabilities, Second Edition: From Identification to Intervention (Fletcher Jack M.)(Pevná vazba)

Reviewing the state of the science of learning disabilities (LDs) and describing effective educational practices, this authoritative volume has been significantly revised and expanded with more than 70% new material. Foremost LD experts identify effective principles of assessment and instruction

Machine Learning in Asset Pricing (Nagel Stefan)(Pevná vazba)

A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments,

Mathematics for Machine Learning (Deisenroth Marc Peter)(Pevná vazba)

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or

Stephen Biesty's Flying Machines (Graham Ian (Author))(Pevná vazba)

Fact-packed lift-the-flap flying machines, by the master of the cross-section, Stephen

Introduction to Cosmology (Ryden Barbara)(Pevná vazba)

This second edition of Introduction to Cosmology is an exciting update of an award-winning textbook. It is aimed primarily at advanced undergraduate students in physics and astronomy, but is also useful as a supplementary text at higher levels. It explains modern cosmological concepts, such as dark

Understanding Machine Learning (Shalev-Shwartz Shai)(Pevná vazba)

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental