Search Tips
Our search has the following Google-type functionality:
+ (addition symbol)
If you use '+' at the start of a word, that word will be present in the search results.
eg. Harry +Potter
Search results will contain 'Potter'.
- (minus symbol)
If you use '-' at the start of a word, that word will be absent in the search results.
eg. Harry -Potter
Search results will not contain 'Potter'.
AND
If you use 'AND' between 2 words, then both those words will be present in the search results.
eg. Harry AND Potter
Search results will contain both 'Harry' and 'Potter'.
NOTE: AND will only work with single words not phrases.
OR
If you use 'OR' between 2 single words, then either or both of those words will be present in the search results.
eg. 'Harry OR Potter'
Search results will contain just 'Harry', or just 'Potter', or both 'Harry' and 'Potter'.
NOTE: OR will only work with single words not phrases.
NOT
If you use 'NOT' before a word, that word will be absent in the search results. (This is the same as using the minus symbol).
eg. 'Harry NOT Potter'
Search results will not contain 'Potter'.
NOTE: NOT will only work with single words not phrases.
" " (double quotation marks)
If you use double quotation marks around words, those words will be present in that order.
eg. "Harry Potter"
Search results will contain 'Harry Potter', but not 'Potter Harry'.
NOTE: "" cannot be combined with AND, OR & NOT searches.
* (asterisk)
If you use '*' in a word, it performs a wildcard search, as it signifies any number of characters. (Searches cannot start with a wildcard).
eg. 'Pot*er'
Search results will contain words starting with 'Pot' and ending in 'er', such as 'Potter'.
Machine learning
164 results
- Sort Results By
Feature Engineering for Machine Learning and Data Analytics
Guozhu Dong (Wright State University, Ohio, USA), Huan Liu (Arizona State University, Arizona, USA)
Data mining; Machine learning
Hardback
Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without... [more]
Machine Learning: a Concise Introduction
Steven W. Knox
Machine learning
Hardback
AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS Machine Learning:... [more]
Advances in Financial Machine Learning
Marcos Lopez de Prado
Investment & securities; Machine learning
Hardback
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently... [more]
Machine Translation
Thierry Poibeau (Ecole Normale Superieure)
Lexicography; Translation & interpretation; Mathematics & Sciences; Popular science; Machine learning
Paperback
A concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation... [more]
Thinking as Computation: A First Course
Hector J. Levesque
Mathematics & Sciences; Programming & scripting languages: general; Machine learning
Paperback
Students explore the idea that thinking is a form of computation by learning to write simple computer programs for tasks that... [more]
Artificial Intelligence for Marketing: Practical Applications
Jim Sterne
Sales & marketing; Machine learning
Hardback
A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a... [more]
Reasoning about Uncertainty
Joseph Y. Halpern
Philosophy: logic; Machine learning
Paperback
Formal ways of representing uncertainty and various logics for reasoning about it; updated with new material on weighted probability... [more]
Deep Learning
Yoshua Bengio
Mathematics & Sciences; Machine learning; Neural networks & fuzzy systems
Hardback
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning... [more]
Advances in Machine Learning and Data Mining for Astronomy
Michael J. Way (NASA Goddard Institute for Space Studies, New York, New York, USA), Jeffrey D. Scargle (NASA Ames Research Center, Moffett Field, California, USA), Kamal M. Ali (Metric Avenue, San Francisco, California, USA), Ashok N. Srivastava (Verizon, California, USA)
Astronomy, space & time; Data mining; Machine learning
Paperback
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists,... [more]
Machine Learning: The New AI
Ethem Alpaydin (OEzyegin University)
History of engineering & technology; Machine learning
Paperback
A concise overview of machine learning-computer programs that learn from data-which underlies applications that include recommendation... [more]
Machine Learning Refined: Foundations, Algorithms, and Applications
Jeremy Watt (Northwestern University, Illinois), Reza Borhani (Northwestern University, Illinois), Aggelos K. Katsaggelos (Northwestern University, Illinois)
Machine learning
Hardback
This book provides a fresh, intuitive approach to machine learning, detailing the fundamental concepts necessary for building... [more]
Machine Learning For Dummies
John Paul Mueller, Luca Massaron
Machine learning
Paperback
Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses,... [more]
Machine Learning: Algorithms and Applications
Mohssen Mohammed (Al-Imam Muhammad Ibn Saud University, Saudi Arabia), Muhammad Badruddin Khan (Imam Muhammad Ibn Saud University, Riyadh, Saudi Arabia), Eihab Bashier Mohammed Bashier (Faculty of Sciences and Arts in Baljurashi at Albaha University, Saudi Arabia)
Algorithms & data structures; Machine learning
Hardback
Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the... [more]
Event Mining: Algorithms and Applications
Tao Li (Florida International University, Miami, USA), Chang-Shing Perng (IBM TJ. Watson Research Center, Yorktown Heights, New York, USA)
Probability & statistics; Automatic control engineering; Data mining; Machine learning
Hardback
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log... [more]
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms,...
John D. Kelleher (Dublin Institute of Technology), Brian Mac Namee (Dublin Institute of Technology), Aoife D'Arcy
Machine learning
Hardback
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering... [more]
Statistical Reinforcement Learning: Modern Machine Learning Approaches
Masashi Sugiyama, Hirotaka Hachiya, Tetsuro Morimura
Machine learning
Hardback
Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating... [more]
A First Course in Machine Learning
Mark Girolami, Simon Rogers
Machine learning
Mixed media product
A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available.... [more]
Sparse Modeling: Theory, Algorithms, and Applications
Irina Rish (IBM, Yorktown Heights, New York, USA), Genady Grabarnik (St. John's University, Queens, NY)
Databases; Machine learning
Hardback
Sparse modeling is an important issue in many applications of machine learning and statistics where the main objective is... [more]
Computational Trust Models and Machine Learning
Xin Liu (Ecole Polytechnique Federale de Lausanne, Switzerland), Anwitaman Datta (Nanyang Technological University, Singapore), Ee-Peng Lim (Singapore Management University)
Machine learning
Hardback
Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application... [more]
Regularization, Optimization, Kernels, and Support Vector Machines
Johan A. K. Suykens, Marco Signoretto, Andreas Argyriou
Automatic control engineering; Communications engineering & telecommunications; Databases; Machine learning
Hardback
Featuring contributions from leading experts, this volume provides an up-to-date look at large-scale machine learning. It... [more]
Introduction to Machine Learning
Ethem Alpaydin (OEzyegin University)
Machine learning
Hardback
A substantially revised third edition of a comprehensive textbook that covers a broad range of topics not often included in... [more]
Data Classification: Algorithms and Applications
Charu C. Aggarwal (IBM Research, Yorktown Heights, New York, USA)
Databases; Machine learning
Hardback
Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented... [more]
Getting Started with Business Analytics: Insightful Decision-Making
David Roi Hardoon, Galit Shmueli
Economic statistics; Management & management techniques; Machine learning
Hardback
Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores... [more]
Machine Learning: An Algorithmic Perspective, Second Edition
Stephen Marsland (Massey University, Palmerston North, New Zealand)
Machine learning
Mixed media product
A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition... [more]
Advances in Machine Learning and Data Mining for Astronomy
Michael J. Way (NASA Goddard Institute for Space Studies, New York, New York, USA), Jeffrey D. Scargle (NASA Ames Research Center, Moffett Field, California, USA), Kamal M. Ali (Metric Avenue, San Francisco, California, USA), Ashok N. Srivastava (Verizon, California, USA)
Astronomy, space & time; Data mining; Machine learning
Hardback
This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by... [more]
