Kevin J. Epps's Books

Managing Behavioural Treatment

Policy and Practice with Delinquent Adolescents

By: Clive R. Hollin,Kevin J. Epps,David J. Kendrick

Write a review Read reviews Take a Quiz Solve Book Puzzle

Managing Behavioural Treatment

Policy and Practice with Delinquent Adolescents

By: Clive R. Hollin,Kevin J. Epps,David J. Kendrick

Focuses on the issues of organizing and managing the delivery of the behavioural programme to maximum effect. Organizational structure, policy-making, clarity in identifying institutional and professional needs, staff training and evaluative research are all covered.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

228

Publisher

Psychology Press

Published Date

ISBN 10

0415050065

ISBN 13

9780415050067

Machine Learning

A Probabilistic Perspective

By: Kevin P. Murphy

Write a review Read reviews Take a Quiz Solve Book Puzzle

Machine Learning

A Probabilistic Perspective

By: Kevin P. Murphy

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 patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

1102

Publisher

MIT Press

Published Date

ISBN 10

0262304325

ISBN 13

9780262304320

Probabilistic Machine Learning

An Introduction

By: Kevin P. Murphy

Write a review Read reviews Take a Quiz Solve Book Puzzle

Probabilistic Machine Learning

An Introduction

By: Kevin P. Murphy

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 modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

858

Publisher

MIT Press

Published Date

ISBN 10

0262369303

ISBN 13

9780262369305

Book's by Kevin J. Epps

Managing Behavioural Treatment

Managing Behavioural Treatment

Machine Learning

Machine Learning

Probabilistic Machine Learning

Probabilistic Machine Learning

Username

Password

Username

Password

Password again

Birthday

Email