Adaptive Computation and Machine Learning series – serie
Visar alla böcker i serien Adaptive Computation and Machine Learning series. Handla med fri frakt och snabb leverans.
25 produkter
Probabilistic Machine Learning
Advanced Topics
Inbunden, 2023
1916 kr
Lägg i varukorg
An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty. An advanced counterpart to Probabilistic Machine Learning: An Introduction, this …
Introduction to Machine Learning
Inbunden, 2020
1131 kr
Lägg i varukorg
A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such …
Deep Learning
Av Ian Goodfellow, Yoshua Bengio m. fl.
Inbunden, 2016
5,0 utav 5 stjärnor. Totalt antal röster: (1)
1262 kr
Lägg i varukorg
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk , …
Reinforcement Learning
An Introduction
Av Richard S. Sutton, Andrew G. Barto m. fl.
Inbunden, 2018
1502 kr
Lägg i varukorg
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning …
Probabilistic Machine Learning
An Introduction
Inbunden, 2022
1568 kr
Lägg i varukorg
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic …
Foundations of Machine Learning
Av Mehryar Mohri, Afshin Rostamizadeh m. fl.
Inbunden, 2018
1131 kr
Lägg i varukorg
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in …
Machine Learning
A Probabilistic Perspective
Inbunden, 2012
5,0 utav 5 stjärnor. Totalt antal röster: (2)
1214 kr
Lägg i varukorg
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect …
Elements of Causal Inference
Foundations and Learning Algorithms
Av Jonas Peters, Dominik Janzing m. fl.
Inbunden, 2017
642 kr
Lägg i varukorg
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a …
Introduction to Natural Language Processing
Inbunden, 2019
1042 kr
Lägg i varukorg
A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods …
Introduction to Online Convex Optimization, second edition
Av Elad Hazan
Inbunden, 2022
739 kr
Lägg i varukorg
New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process. In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use …
Learning Theory from First Principles
Av Francis Bach
Inbunden, 2024
1012 kr
Lägg i varukorg
A comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory. Research has exploded in the field of machine learning resulting in complex mathematical arguments that are hard to grasp for new comers. . In this accessible textbook, Francis Bach presents …
Gaussian Processes for Machine Learning
Av Carl Edward Rasmussen, Christopher K. I. Williams
Inbunden, 2005
674 kr
Lägg i varukorg
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received …
Boosting
Foundations and Algorithms
Av Robert E. Schapire, Yoav Freund
Häftad, 2014
759 kr
Lägg i varukorg
Learning with Kernels
Support Vector Machines, Regularization, Optimization, and Beyond
Av Bernhard Schölkopf, Alexander J. Smola
Häftad, 2018
1250 kr
Lägg i varukorg
Introduction to Statistical Relational Learning
Av University of Maryland College Park) Getoor, Lise (Assistant Professor, Ben Taskar
Häftad, 2019
907 kr
Lägg i varukorg
Machine Learning for Data Streams
with Practical Examples in MOA
Av Albert Bifet, Ricard Gavalda m. fl.
Häftad, 2023
838 kr
Lägg i varukorg
Probabilistic Graphical Models
Principles and Techniques
Av Daphne Koller, Nir Friedman
Inbunden, 2009
1359 kr
Tillfälligt slut
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of …
Machine Learning in Non-Stationary Environments
Introduction to Covariate Shift Adaptation
Av Masashi Sugiyama, Motoaki Kawanabe
Inbunden, 2012
503 kr
Tillfälligt slut
Machine Learning for Data Streams
with Practical Examples in MOA
Av Telecom ParisTech) Bifet, Albert (Professor of Computer Science, Campus Nord) Gavalda, Ricard (Professor, Universitat Politecnica de Catalunya m. fl.
Inbunden, 2018
629 kr
Tillfälligt slut
Principles of Data Mining
Av David J. Hand, Heikki Mannila m. fl.
Inbunden, 2001
825 kr
Tillfälligt slut
Semi-Supervised Learning
Av Olivier Chapelle, Bernhard Schölkopf m. fl.
Häftad, 2010
416 kr
Tillfälligt slut
