\nOffers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning…

The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and…

\nThis Element combines a machine learning-based approach to detect the prevalence and nature of generalization across tens…

This Element, authored by specialists, overviews analytical techniques for examining archaeological ceramics. Pottery, one…

Bioresorbable electronics offer a revolutionary solution to replace the built-to-last electronics used in implanted devices…

This series is for the Cambridge International AS & A Level Computer Science syllabus (9618) for examination from 2021.…

\nA comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R…

\nThe second edition of this student-friendly textbook now includes over 150 new exercises, key concept summaries and a…

Four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its…

Proofs play a central role in advanced mathematics and theoretical computer science, and this bestselling text's third…

Haskell is a purely functional language that allows programmers to rapidly develop clear, concise, and correct software. The…

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

This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning…

The second edition of this accessible introduction for graduate students and advanced undergraduates presents the current…

This self-contained textbook introduces students and researchers of AI to the key mathematical concepts and techniques…

A new series of print and digital resources developed for the 2015 A/AS Level Computer Science qualifications.…

• Rok vydání 2015

A new series of print and digital resources developed for the 2015 A/AS Level Computer Science qualifications.…

\nAn accessible text that provides students and instructors with the data science foundations to address earth science…

\nOptimization techniques are at the core of data science. An understanding of the basic techniques and their fundamental…

\nMaster basic matrix methods by seeing how the mathematics is used in practice in a range of data-driven applications.…

\nFully updated, this edition includes new chapters on energy storage, off-grid systems and microgrids; revised coverage of…

This book is aimed towards both undergraduate and graduate courses in computer science on the design and analysis of…

\nEquips future data analysts with the skills they need to answer questions in business, economics, and public policy.…

A practical introduction to data science with a low barrier entry, this textbook is well-suited to students from a range of…

\nA new series of print and digital resources developed for the 2015 A/AS Level Computer Science qualifications.\n…

\nA rigorous, yet accessible, textbook for computer science students learning probability. It covers topics of interest to…

\nThis coherent introduction to machine learning for readers with a background in basic linear algebra, statistics,…

This book describes data structures and data structure design techniques for functional languages.…

Bayesian optimization is a methodology that has proven success in the sciences, engineering, and beyond for optimizing…

\nAnalyses the economics of development from a global perspective with a wealth of illustrations. Throughout the book, there…

Integer linear programming is a versatile modeling and optimization technique with potential to transform biological…

\nFully revised and updated, this comprehensive new edition covers modern AI and machine learning for undergraduate and…

This series is for the Cambridge International AS & A Level Computer Science syllabus (9608) for examination from 2021.…

Focuses on the basic mathematical tools needed for cryptographic design: computational difficulty (one-way functions),…

• Rok vydání 2023

\nThis textbook is a complete overhaul, rewrite, and expansion of Hugh Rollinson\'s highly successful 1993 book. Pease and…

• Rok vydání 2007

\nThis 2007 book discusses the design of reliable numerical methods to retrieve missing information in models of complex…

• Rok vydání 2021

\nThis textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It uses…

\nAn innovative introduction to the foundations of signals, systems, and transforms, emphasising discrete-time concepts, and…

Finally, a textbook that explains quantum computing using techniques and concepts familiar to computer scientists.…

\nThis series is for the Cambridge International AS & A Level Computer Science syllabus (9618) for examination from 2021.\n…

A modern and unified treatment of the mechanics, planning, and control of robots, suitable for a first course in robotics.…

Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix…

This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data…

Master the fundamentals with this accessible and hands-on textbook, interweaving theory and practice. Just-in-time pedagogy,…

\nProvides comprehensive coverage of block codes and techniques using step-by-step explanations and easy-to-follow…

\nThis textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It uses…