In this book you will find some shocking details of the great figures of science such as Newton, Galileo, Kepler, Copernicus and Kant, presented with the characteristic humor that only a popularizer of science as Sergio de Regules could bring to this wonderful collection of essays.

    One of his best-loved and most famous plays, it exposes the lies plaguing the family of a wealthy Southern planter of humble origins.

    Siracusa's overview, wrap-up, and critique of everything new in OS X 10.10 Yosemite.

    It was reduced to dust. Soon I had to admit that there were things far beyond the scope of my rational mind.' What is it that draws one to a mystic? What is it like to know at close quarters a man whose powers are beyond the conscious mind? What does it feel like to be fulfilled spiritually, to feel understood, to stand revealed? As Ismita Tandon and Swami Vidyananda Om explore their feelings for Om Swami, their baffling experiences with him, a secret world of mystical phenomena lights up. They talk about the intimacy of their daily lives with Swami, observing his sheer power, his simplicity, his empathy for every living creature he encounters and the care with which he chooses every word he speaks, no matter how big or small the matter. They speak of his beauty, his divinity. What emerges is a moving portrait of devotion and trust, and the startling image of a saint who was able to inspire such depth of feeling.

     As seen on ESPN's Cold Pizza Fantasy football -- one of America's most popular, and profitable, virtual pastimes -- became a way of life for sports humorist and author Mark St. Amant. Utterly fed up with never having won his league championship, St. Amant abandoned a successful advertising career to make fantasy football his full-time job, embarking on a sprawling reconnaissance mission to discover what really makes this game, and its 20 million players, tick. Committed is the result of St. Amant's ranting, relentless, and strategic pursuit of his own obsession. In this wickedly funny and deeply informative work, St. Amant offers readers an all-access sideline pass to his wild, unprecedented fantasy football season, and to the hobby itself. From its humble beginnings in a New York hotel in 1962 to a multibillion-dollar business today, from local and online leagues to high-stakes, cutthroat Las Vegas competitions, St. Amant lays bare the facts, figures, and fanaticism of fantasy football in all its multidimensional glory.

    Real true crime is not for everyone. The stories in this book represent humanity at its absolute worst. Pure evil. Television crime shows and news articles often skip the gruesome parts of true crime stories. The real details are just too grisly for the average viewer or reader.In my books, however, I do my best to include the details, regardless of how unsettling they may be. Each story requires hours of research. I search through old newspaper articles, court documents, police reports, autopsy results, and first-hand descriptions. Some of the specifics can be disconcerting. I choose to include the details not to shock, but to give the reader a deeper view into the mind of the killer. Although it’s unlikely any of us will understand the motives of a diabolical monster, the level of depravity will keep you turning pages.That being said, if you are overly squeamish about the details of true crime, this book may not be for you. If you’re okay with it… then let’s begin.Volume 7 features: Longer stories, more photos, a bonus chapter, and an online appendix with additional photos, videos, and documents. Volume 7 of True Crime Case Histories features twelve new stories from the past fifty years.A sampling of the stories include:You’ll read about a law enforcement officer that took advantage of the trust associated with his uniform. His brutal reign of terror lasted eight years. It took the bravery of two young women that escaped his grasp to bring him down.There’s the story of the recent law school graduate with a crush on his neighbor. Rather than asking her out on a date, he stalked and spied on his classmate, eventually taking her life. There’s also the heartbreaking story of a single mom, drowning in debt, that did the unthinkable for insurance money.Seven of the stories in this book feature women killers, two of which took the time to meticulously dismember their victims—a task that can take great strength. Another woman manipulated her two teenage boys into killing for her. Yet another woman staged an elaborate hoax to get rid of her loving husband rather than go through the agony of a messy divorce.You’ll also read of a sadistic group of up to twelve killers that took joy in abducting and torturing young men in Australia. Sadly, only one of the mysterious group has been brought to justice.Plus many more disturbing stories.The twelve stories in this volume are shocking and disturbing, but they’re true. These things really happen in the world. We may never understand why killers do what they do, but at least we can be better informed. You may have heard of a few of the stories in this volume, but there are several I’m almost certain you haven’t.

    It's about learning to eat properly for your health." -Vitor Belfort, UFC two-time world champion"Mike Dolce's the best in the business."-Chael Sonnen, UFC world title contender"Mike Dolce's knowledge of nutrition and strength & conditioning has led him to be one of the most highly sought-after coaches in the sport." -Joshua Carey, Bleacher Report"You can learn a lot from this man right here." -Ariel Helwani, AOL's MMAFighting.comABOUT THE DOLCE DIET: LIVING LEANCalled "the patron saint of weight cutting," Mike Dolce has coordinated the high-profile weight loss for many of the world's top athletes, including...* Quinton "Rampage" Jackson, UFC / Pride FC world champion* Vitor "The Phenom" Belfort, UFC two-time world champion* Thiago "Pitbull" Alves, UFC world title contender* Chael Sonnen WEC / UFC world title contender* Gray "Bully" Maynard, UFC world title contender* Nate "Rock" Quarry, UFC world title contender* Mike "Quicksand" Pyle, WEC world champion* Jay "Thorobred" Hieron, IFL world championAs well as fan favorites...* Michael "The Count" Bisping, The Ultimate Fighter 3 winner* Jake "Juggernaut" Ellenberger, UFC veteran* Ed "Shortfuse" Herman, The Ultimate Fighter 3 runner-up* Chris "The Crippler" Leben, UFC veteran* Duane "BANG" Ludwig, UFC & K-1 veteranand many more!For the first time in print, Mike Dolce shares the same the principles, recipes, and strength-training workouts he uses in MMA's elite fight camps and how they can be used by YOU!INSIDE you will learn:* Recipes used in MMA's top fight camps with gluten-free & vegan options* Easy to follow sample meal plans with gluten-free & vegan options* Strength & Conditioning exercises with instructions & photos* Workout plans used by today's top athletesWHAT PEOPLE ARE SAYING ABOUT THE DOLCE DIETThe Dolce Diet, three words about Living Lean: 1. Simple 2. Inspirational 3. Effective. Thank you, Mike Dolce! You've made staying in shape easy! ~STEWART M. The Dolce Diet, Love it! My Little-Boy-2-B has been on it for 5.5 months! This diet is truly amazing for moms pre & post baby! Yes, The DolceDiet is prego friendly! Plenty of the RIGHT kind of food that tastes great! ~THE H2H WAITRESSStarted two weeks ago. Lost 13 pounds so far. Yea! Love the recipes! So do my kids! Thank you! ~DAWN H.Body fat down 4% in 2 months?! Yessss! #LIVING LEAN ~MOLLY C.The Dolce Diet, started 410, down 50 lbs. so far. ~ JOSH W.The Dolce Diet, 13 lbs. lost in 4 weeks! People are asking what I'm doing...Telling them LIVING LEAN! ~MIKE S.Real talk! The Dolce Diet is the Einstein, da Vinci and Jesus of losing weight all wrapped up in one...gluten free wrap that is. ~MIKEY F.Another 5 (lbs. lost) on The Dolce Diet. 25 pounds down in 2 weeks, 100 to go! #LivingLean! ~JOHN P.

    But ask a physicist and there’s no doubt that James Clerk Maxwell will be near the top of the list.  Maxwell, an unassuming Victorian Scotsman, explained how we perceive colour. He uncovered the way gases behave. And, most significantly, he transformed the way physics was undertaken in his explanation of the interaction of electricity and magnetism, revealing the nature of light and laying the groundwork for everything from Einstein’s special relativity to modern electronics.   Along the way, he set up one of the most enduring challenges in physics, one that has taxed the best minds ever since. ‘Maxwell’s demon’ is a tiny but thoroughly disruptive thought experiment that suggests the second law of thermodynamics, the law that governs the flow of time itself, can be broken. This is the story of a groundbreaking scientist, a great contributor to our understanding of the way the world works, and his duplicitous demon.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    1973, Indian badminton player.

    He was able to make contact in dream states with his intuitive father within days and verbal contact by the end of the first month. Two years later he requested his father write down communication from Galen about his new circumstances. Dr. Stoller’s only comments in this revelatory account appear in Editor’s Notes at the end of each chapter. While there are many accounts of near-death experiences, never has an account been written documenting a personal encounter with such detail and clarity. The story of this gifted boy intent on getting through to earth the knowledge of what lies beyond is both comforting and sobering with a message relevant for all of us still living in this dimension.

    Pistone infiltrated the mob and brought it down. Now, he brings his experience to a series of novels that takes readers deep inside a covert FBI operation.In Mobbed Up, Donnie Brasco takes on both the Russian and Italian mobs. But this time it's not his life on the line...it's his daughter's.