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Probabilistic Machine Learning
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...
Insights
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Machine Learning
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 developm...
Kevin Murphy
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Machine Learning, second edition
The second and expanded edition of a comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, including deep learning, viewed through the lens of probabilistic modeling and Bayesian decision theory. This second edition has been substantially expanded and revised, incorporating many recent developments in the field. It has new chapters on linear algebra, optimization, implicit generative models, reinforcement learning, and causality; and other chapters on such topics as variational inference and graphical models have been significantly updated. The software for the book (hosted on github) is now implemented in Python rather than MATLAB, and uses state-of-the-art libraries including as scikit-learn, Tensorflow 2, and JAX.
Heathers the Musical
Based on the classic 1989 film, Westerberg High is ruled by a shoulder-padded, scrunchie-wearing junta: Heather, Heather and Heather, the hottest and cruelest girls in all of Ohio. But misfit Veronica Sawyer rejects their evil regime for a new boyfriend, the dark and sexy stranger J.D., who plans to put the Heathers in their place - six feet under.
First Login
Time in a capsule.People seek out escapes through countless avenues, but when the product is extra time to live--within an emerging digital world--everyone's a customer. Game capsules transport players to a new world where time is perceived far more slowly. Why study for eight hours in the real world when you could get it all done in a single hour? Why work slowly? Why relax that way? Following this mentality, Chronicle has become more than a game for governments, businesses, and players alike. When Corbin Landrick, an unlucky but hardworking guy, finally gets his hands on a ChronPod, he jumps headfirst into his second life. While he struggles to plant both feet firmly on the ground in a world of magic and monsters, he finds out that virtual reality is what you make of it.
Performance Appraisal and Management
Organizations of all sizes face the challenge of accurately and fairly evaluating performance in the workplace. Performance Appraisal and Management distills the best available research and translates those findings into practical, concrete strategies. This text explores common obstacles and why certain performance appraisal methods often fail. Using a strategic, evidence-based approach, the authors outline best practices for avoiding common pitfalls and help organizations achieve their maximum potential. Cases, exercises, and spotlight boxes on timely issues like cyberbullying in the workplace and appraising team performance provides readers with opportunities to hone their critical thinking and decision-making skills.
