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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...
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...
Red Noise
Caught up in a space station turf war between gangs and corrupt law, a lone asteroid miner decides to take them all down. When an asteroid miner comes to Station 35 looking to sell her cargo and get back to the solitude she craves, she gets swept up in a three-way standoff with gangs and crooked cops. Faced with either taking sides or cleaning out the Augean Stables, she breaks out the flamethrower.
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.
Chaos Theory
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SEAL of Honor
Lt.Michael Patrick Murphy, a Navy SEAL, earned the Medal of Honor on 28 June 2005 for his bravery during a fierce fight with the Taliban in the remote mountains of eastern Afghanistan. The first to receive the nation's highest military honor for service in Afghanistan, Lt. Murphy was also the first naval officer to earn the medal since the Vietnam War, and the first SEAL to be honored posthumously. A young man of great character, he is the subject of Naval Special Warfare courses on character and leadership, and an Arleigh Burke-class guided missile destroyer, naval base, school, post office, ball park, and hospital emergency room have been named in his honor. A bestselling book by the sole ...
The Pope's Daughter:The Extraordinary Life of Felice della Rovere
The illegitimate daughter of Pope Julius II, Felice della Rovere became one of the most powerful and accomplished women of the Italian Renaissance. Now, Caroline Murphy vividly captures the untold story of a rare woman who moved with confidence through a world of popes and princes.Using a wide variety of sources, including Felice's personal correspondence, as well as diaries, account books, and chronicles of Renaissance Rome, Murphy skillfully weaves a compelling portrait of this remarkable woman. Felice della Rovere was to witness Michelangelo paint the Sistine Chapel, watch her father Pope Julius II lay the foundation stone for the new Saint Peter's, and see herself immortalized by Raphael...
Politically Incorrect Guide to Capitalism
Most commonly accepted economic "facts" are wrong Here's the unvarnished, politically incorrect truth. The liberal media and propagandists masquerading as educators have filled the world--and deformed public policy--with politically correct errors about capitalism and economics in general. In The Politically Incorrect Guide(tm) to Capitalism, myth-busting professor Robert P. Murphy, a scholar and frequent speaker at the Ludwig von Mises Institute, cuts through all their nonsense, shattering liberal myths and fashionable socialist cliches to set the record straight.
Understanding Money Mechanics
Understanding Money Mechanics provides the intelligent layperson with a concise yet comprehensive overview of the theory, history, and practice of money and banking, with a focus on the United States. Although the author considers himself an Austrian school economist, most of the material in this book is a neutral presentation of historical facts and an objective description of the mechanics of money creation in today's world. This book is intended to be a reference for all readers, whether "Austrian" or not, and to bridge the gap by providing a crash course in the necessary theory and history while keeping the discussion tethered to current events. Understanding Money Mechanics covers numerous topics, including the classical gold standard, the Fed's open market operations, changes in central bank policy since the coronavirus, the economics of Bitcoin, and a critique of Modern Monetary Theory (MMT).
