The Master Algorithm : How the Quest for the Ultimate Learning Machine Will Remake Our World
معرفی کتاب «The Master Algorithm : How the Quest for the Ultimate Learning Machine Will Remake Our World» نوشتهٔ Adel S. Sedra، Tony Chan Carusone، Vincent Gaudet، Kenneth C. (KC) Smith و Domingos, Pedro، منتشرشده توسط نشر Basic Books در سال 2015. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world’s top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. Machine learning is the automation of discoverythe scientific method on steroidsthat enables intelligent robots and computers to program themselves. No field of science today is more important yet more shrouded in mystery. Pedro Domingos, one of the field’s leading lights, lifts the veil for the first time to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He charts a course through machine learning’s five major schools of thought, showing how they turn ideas from neuroscience, evolution, psychology, physics, and statistics into algorithms ready to serve you. Step by step, he assembles a blueprint for the future universal learnerthe Master Algorithmand discusses what it means for you, and for the future of business, science, and society. If data-ism is today’s rising philosophy, this book will be its bible. The quest for universal learning is one of the most significant, fascinating, and revolutionary intellectual developments of all time. A groundbreaking book, __The Master Algorithm__ is the essential guide for anyone and everyone wanting to understand not just how the revolution will happen, but how to be at its forefront. Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. Machine learning is the automation of discovery#x97;the scientific method on steroids#x97;that enables intelligent robots and computers to program themselves. No field of science today is more important yet more shrouded in mystery. Pedro Domingos, one of the field's leading lights, lifts the veil for the first time to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He charts a course through machine learning's five major schools of thought, showing how they turn ideas from neuroscience, evolution, psychology, physics, and statistics into algorithms ready to serve you. Step by step, he assembles a blueprint for the future universal learner#x97;the Master Algorithm#x97;and discusses what it means for you, and for the future of business, science, and society. If data-ism is today's rising philosophy, this book will be its bible. The quest for universal learning is one of the most significant, fascinating, and revolutionary intellectual developments of all time. A groundbreaking book, The Master Algorithm is the essential guide for anyone and everyone wanting to understand not just how the revolution will happen, but how to be at its forefront Describes The Quest To Find The Master Algorithm, Which Will Take Machine Learning To The Next Level, Allowing Computers To Learn How To Solve Not Just Particular Problems But Any Problem,--novelist. Algorithms Increasingly Run Our Lives. They Work By Learning From The Trails Of Data We Leave In Our Newly Digital World; They Observe Us, Imitate, And Experiment. And In The World's Top Research Labs And Universities, The Race Is On To Invent The Ultimate Learning Algorithm: One Capable Of Discovering Any Knowledge From Data, And Doing Anything We Want, Before We Even Ask. Domingos Gives Us A Peek Inside The Learning Machines That Power Google, Amazon, And Your Smartphone, And Discusses What It Means For You, And For The Future Of Business, Science, And Society. The Machine Learning Revolution -- The Master Algorithm -- Hume's Problem Of Induction -- How Does Your Brain Learn? -- Evolution : Nature's Learning Algorithm -- In The Church Of The Reverend Bayes -- You Are What You Resemble -- Learning Without A Teacher -- The Pieces Of The Puzzle Fall Into Place -- This Is The World On Machine Learning. Pedro Domingos. Includes Bibliographical References And Index. Recommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible. Prologue 12 CHAPTER ONE: The Machine-Learning Revolution 24 CHAPTER TWO: The Master Algorithm 46 CHAPTER THREE: Hume’s Problem of Induction 80 CHAPTER FOUR: How Does Your Brain Learn? 116 CHAPTER FIVE: Evolution: Nature’s Learning Algorithm 144 CHAPTER SIX: In the Church of the Reverend Bayes 166 CHAPTER SEVEN: You Are What You Resemble 200 CHAPTER EIGHT: Learning Without a Teacher 226 CHAPTER NINE: The Pieces of the Puzzle Fall into Place 258 CHAPTER TEN: This Is the World on Machine Learning 286 Acknowledgments 318 Further Readings 320 Index 336
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