Machine learning

Now in paperback and fortified with exercises, this brilliant, enjoyable text demystifies data science, statistics and machine learning.

This cutting-edge volume offers a theoretical and applied introduction to the emerging legal technology and informatics industry.

Presents carefully selected supervised and unsupervised learning methods from basic to state-of-the-art,in a coherent statistical framework.

Presents carefully selected supervised and unsupervised learning methods from basic to state-of-the-art,in a coherent statistical framework.

This element introduces machine learning (ML) tools that can help asset managers discover economic and financial theories.

This element introduces machine learning (ML) tools that can help asset managers discover economic and financial theories.

This in-depth tutorial for students, researchers, and developers covers foundations, plus applications ranging from search to multimedia.

Modern introduction to machine learning with neural networks.

Probabilistic Programs.

Connects fundamental mathematical theory with real-world problems, through efficient and scalable optimization algorithms.

This accessible course on a central player in modern statistical practice connects models with methodology, without need for advanced math.

This concise course in data analysis and inference for the mathematically literate builds on survey sampling and designed experiments.

Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

Explores the critical role time plays in our understanding of causality, across psychology, biology, physics and the social sciences.

An accessible undergraduate introduction to the concepts and methods in pattern recognition, machine learning and deep learning.

Explores the critical role time plays in our understanding of causality, across psychology, biology, physics and the social sciences.

Now in its third edition, this book focuses on practical algorithms for mining data from even the largest datasets.

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

This user guide presents a popular smoothing tool with practical applications in machine learning, engineering, and statistics.

An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.

New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.

Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.

An intuitive and accessible textbook covering both fundamentals and applications.

A bold retooling of statistics to focus directly on predictive performance with traditional and contemporary data types and methodologies.

This user guide presents a popular smoothing tool with practical applications in machine learning, engineering, and statistics.

The first unified treatment of the interface between information theory and emerging topics in data science.

Surveys major topics in the epistemology of big data based scientific approaches and defends an inductivist view of these approaches.

A bold retooling of statistics to focus directly on predictive performance with traditional and contemporary data types and methodologies.

Provides a comprehensive textbook covering theory and practical examples for a course on data mining and data warehousing.

This integrated introduction to fundamentals, computation, and software is your key to understanding and using advanced Bayesian methods.

This integrated introduction to fundamentals, computation, and software is your key to understanding and using advanced Bayesian methods.

A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.

A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.

A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.

An innovative and groundbreaking text explaining how wireless AI can determine position, sense motion and vital signs, and identify events and people.

An innovative and groundbreaking text explaining how wireless AI can determine position, sense motion and vital signs, and identify events and people.

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.

This is a practical, rigorous guide to the compressive imaging revolution that has fundamentally changed modern image reconstruction.

This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.

This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.

This book discusses the evolving designs and applications of multimedia content delivery and focuses on computing-based methods.

This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.

This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.

The theory, methods and applications of matrix analysis are presented here in a novel theoretical framework.

The theory, methods and applications of matrix analysis are presented here in a novel theoretical framework.

This book brings together experts from research and practice.

This book describes how human hearing works and how to build machines that analyze sounds in the same way that people do.

This book describes how human hearing works and how to build machines that analyze sounds in the same way that people do.