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Machine learning
174 results
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Deep Learning
John D. Kelleher (Academic Leader of the Information, Communication, and Entertainment Research Institute, Technological University Dublin)
Impact of science & technology on society; Ethical & social aspects of computing; Machine learning
Paperback
An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine... [more]
$39.99
In stock
Ready to ship
How Smart Machines Think
Sean Gerrish
Other technologies & applied sciences; Machine learning
Paperback
Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing... [more]
Computational Bayesian Statistics: An Introduction
M. Antonia Amaral Turkman (Universidade de Lisboa), Carlos Daniel Paulino (Universidade de Lisboa), Peter Muller (University of Texas, Austin)
Data analysis: general; Economic statistics; Mathematics & Sciences; Probability & statistics; Machine learning
Paperback
This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available... [more]
Grokking Deep Learning
Andrew W Trask
Mathematics & Sciences; Windows programming; Machine learning
Paperback
Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the brain... [more]
Introduction to Deep Learning
Eugene Charniak (Brown University)
Mathematics & Sciences; Machine learning
Paperback
A project-based guide to the basics of deep learning. [more]
Artificial Unintelligence: How Computers Misunderstand the World
Meredith Broussard (New York University)
Mathematics & Sciences; Impact of science & technology on society; Machine learning
Paperback
A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always... [more]
Algorithms for Optimization
Mykel J. Kochenderfer (Stanford University), Tim A. Wheeler (Stanford University)
Mathematics & Sciences; Optimisation; Maths for engineers; Algorithms & data structures; Machine learning
Hardback
A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. [more]
Linear Algebra and Learning from Data
Gilbert Strang (Massachusetts Institute of Technology)
Mathematics & Sciences; Mathematical modelling; Maths for computer scientists; Machine learning; Pattern recognition
Hardback
Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of... [more]
Algorithmic Aspects of Machine Learning
Ankur Moitra (Massachusetts Institute of Technology)
Mathematics & Sciences; Probability & statistics; Algorithms & data structures; Machine learning
Paperback
Machine learning is reshaping our everyday life. This book explores the theoretical underpinnings in an accessible way, offering... [more]
How Smart Machines Think
Sean Gerrish
Other technologies & applied sciences; Machine learning
Hardback
Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing... [more]
Artificial Unintelligence: How Computers Misunderstand the World
Meredith Broussard (New York University)
Mathematics & Sciences; Impact of science & technology on society; Machine learning
Hardback
A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always... [more]
Understanding Machine Learning: From Theory to Algorithms
Shai Shalev-Shwartz (Hebrew University of Jerusalem), Shai Ben-David (University of Waterloo, Ontario)
Machine learning
Hardback
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains... [more]
Mathematics for Machine Learning
Marc Peter Deisenroth (University College London), A. Aldo Faisal (Imperial College London), Cheng Soon Ong
Mathematics & Sciences; Probability & statistics; Maths for engineers; Machine learning; Pattern recognition
Paperback
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning... [more]
$65.95
Forthcoming
Pre-Order now
A Concise Introduction to Machine Learning
A.C. Faul (University of Cambridge, UK)
Machine learning
Paperback
The emphasis of the book is on the question of Why - only if why an algorithm is successful is understood, can it be properly... [more]
Cost-Sensitive Machine Learning
Balaji Krishnapuram, Shipeng Yu, R. Bharat Rao
Machine learning
Paperback
In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs... [more]
Introduction to Machine Learning and Bioinformatics
Sushmita Mitra, Sujay Datta, Theodore Perkins, George Michailidis
Biology, life sciences; Machine learning
Paperback
Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning... [more]
The Artist in the Machine: The World of AI-Powered Creativity
Arthur I. Miller
Advertising & society; Machine learning
Hardback
An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well... [more]
The Promise of Artificial Intelligence: Reckoning and Judgment
Brian Cantwell Smith (University of Toronto)
Impact of science & technology on society; Machine learning
Hardback
An argument that-despite dramatic advances in the field-artificial intelligence is nowhere near developing systems that are... [more]
A Beginner's Guide to Image Shape Feature Extraction Techniques
Jyotismita Chaki (Department of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India), Nilanjan Dey
Automatic control engineering; Communications engineering & telecommunications; Machine learning; Image processing
Hardback
This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification.... [more]
A Concise Introduction to Machine Learning
A.C. Faul (University of Cambridge, UK)
Machine learning
Hardback
The emphasis of the book is on the question of Why - only if why an algorithm is successful is understood, can it be properly... [more]
Python Machine Learning
Wei-Meng Lee
Software Engineering; Machine learning
Paperback
Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially... [more]
Applied Machine Learning for Smart Data Analysis
Nilanjan Dey, Sanjeev Wagh (Department of Information Technology, Government College of Engineering, Karad, India), Parikshit N. Mahalle (Department of Computer Engineering, Smt Kashibai Navale College of Engineering, Vadgaon(Bk), Pune, INDIA), Mohd. Shafi Pathan (Department of Computer Engineering, Smt Kashibai Navale College of Engineering, Vadgaon(Bk), Pune, INDIA)
Data mining; Machine learning
Hardback
The book focuses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven... [more]
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems,...
Steven L. Brunton (University of Washington), J. Nathan Kutz (University of Washington)
Optimisation; Robotics; Data mining; Mathematical theory of computation; Machine learning
Hardback
Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate... [more]
Big Data and Machine Learning in Quantitative Investment
Tony Guida
Investment & securities; Databases; Machine learning
Hardback
Get to know the `why' and `how' of machine learning and big data in quantitative investment Big Data and Machine Learning... [more]
How to Be Human in the Digital Economy
Nicholas Agar (Professor, Victoria University of Wellington)
Popular philosophy; Impact of science & technology on society; Machine learning
Hardback
An argument in favor of finding a place for humans (and humanness) in the future digital economy. [more]
