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Machine learning
167 results
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Cognitive Computing and Big Data Analytics
Judith Hurwitz, Marcia Kaufman, Adrian Bowles
Machine learning
Paperback
A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance... [more]
Machine Learning: A Bayesian and Optimization Perspective
Dr. Sergios Theodoridis
Steam engines; Machine learning
Hardback
This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches--which... [more]
Advances in Independent Component Analysis and Learning Machines
Ella Bingham (Executive Director, Foundation for Aalto University Science and Technology, Finland), Samuel Kaski (Director, Helsinki Institute for Information Technology, Aalto University and University of Helsinki, Finland.), Jorma Laaksonen (Professor, Department of Biomedical Engineering and Computational Science, Aalto University, Finland.), Jouko Lampinen (Teaching Researcher, Department of Information and Computer Science, Aalto University, Finland)
Machine learning; Signal processing
Hardback
In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances... [more]
Cambridge Series in Statistical and Probabilistic Mathematics: Large Sample...
Jianfeng Yao (The University of Hong Kong), Shurong Zheng, Zhidong Bai
Probability & statistics; Data capture & analysis; Machine learning; Pattern recognition
Hardback
High-dimensional statistical methods are at the heart of the new era of big data analytics. This book, written by leading... [more]
Activity Learning: Discovering, Recognizing, and Predicting Human Behavior...
Diane J. Cook, Narayanan C. Krishnan
Machine learning
Hardback
Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field... [more]
Machine Learning: Hands-On for Developers and Technical Professionals
Jason Bell
Machine learning
Paperback
Dig deep into the data with a hands-on guide to machine learning Machine Learning: Hands-On for Developers and Technical... [more]
Conformal Prediction for Reliable Machine Learning: Theory, Adaptations...
Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk
Machine learning
Paperback
The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence... [more]
Multi-Agent Machine Learning: A Reinforcement Approach
H. M. Schwartz
Machine learning
Hardback
The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean... [more]
Evaluating Learning Algorithms: A Classification Perspective
Nathalie Japkowicz (University of Ottawa), Mohak Shah (McGill University, Montreal)
Machine learning; Pattern recognition
Paperback
This book gives a solid basis for conducting performance evaluations of learning algorithms in practical settings with an... [more]
Kernel Methods and Machine Learning
S. Y. Kung (Princeton University, New Jersey)
Machine learning; Pattern recognition
Hardback
Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning... [more]
Imbalanced Learning: Foundations, Algorithms, and Applications
Haibo He, Yunqian Ma
Machine learning
Hardback
Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security,... [more]
Network Anomaly Detection: A Machine Learning Perspective
Dhruba Kumar Bhattacharyya (Tezpur University, Assam, India), Jugal Kumar Kalita (University of Colorado, Colorado Springs, USA)
Network security; Machine learning
Hardback
With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of... [more]
Machine Learning: Theory and Applications
C. Radhakrishna Rao, Venu Govindaraju
Probability & statistics; Machine learning
Hardback
Statistical learning and analysis techniques have become important today, given the growth in the size of heterogeneous data... [more]
Modern Machine Learning Techniques and Their Applications in Cartoon Animation...
Jun Yu, Dacheng Tao
Electronics & communications engineering; Digital animation; Machine learning
Hardback
The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. [more]
Machine Learning: The Art and Science of Algorithms that Make Sense of Data...
Peter Flach (University of Bristol)
Algorithms & data structures; Machine learning
Paperback
Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples... [more]
Intelligent Sensor Networks: The Integration of Sensor Networks, Signal...
Fei Hu (University of Alabama, Tuscaloosa, USA), Qi Hao
Communications engineering & telecommunications; Machine learning
Hardback
Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books... [more]
Autonomous Learning Systems: From Data Streams to Knowledge in Real-time...
Plamen Angelov
Electronics & communications engineering; Machine learning
Hardback
The result of over a decade of focused research and studies in this emerging area, Autonomous Learning Systems addresses... [more]
Machine Learning in Image Steganalysis
Hans Georg Schaathun, Bogdan Vrusias
Machine learning; Signal processing
Hardback
Steganography is the art of communicating a secret message, hiding the very existence of a secret message. This book is an... [more]
Machine Learning: The Art and Science of Algorithms that Make Sense of Data...
Peter Flach (University of Bristol)
Algorithms & data structures; Machine learning
Hardback
Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples... [more]
Reinforcement and Systemic Machine Learning for Decision Making
Parag Kulkarni, Bithika Samanta
Machine learning
Hardback
* Authors have both industrial and academic experiences * Case studies are included reflecting author's industrial experiences... [more]
Statistical and Machine Learning Approaches for Network Analysis
Matthias Dehmer, Subhash C. Basak
Combinatorics & graph theory; Machine learning
Hardback
* Provides a general framework for structurally analyzing graphs by bringing together known and novel approaches on graph... [more]
Optimal Learning
Warren B. Powell, Ilya O. Ryzhov
Applied mathematics; Machine learning
Hardback
Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit... [more]
Density Ratio Estimation in Machine Learning
Masashi Sugiyama (Tokyo Institute of Technology), Taiji Suzuki (University of Tokyo), Takafumi Kanamori (Nagoya University, Japan)
Machine learning; Pattern recognition
Hardback
Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical... [more]
Bayesian Reasoning and Machine Learning
David Barber
Probability & statistics; Machine learning
Hardback
This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without... [more]
Scaling up Machine Learning: Parallel and Distributed Approaches
Ron Bekkerman, Mikhail Bilenko, John Langford
Machine learning; Pattern recognition
Hardback
In many practical situations it is impossible to run existing machine learning methods on a single computer, because either... [more]
