tensorflow for machine intelligence

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Fundamentals Of Deep Learning

Author : Nikhil Buduma
ISBN : 1491925612
Genre :
File Size : 86. 77 MB
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With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research that is paving the way for modern machine learning. This book uses exposition and examples to help you understand major concepts in this complicated field. Large companies such as Google, Microsoft, and Facebook have taken notice, and are actively growing in-house deep learning teams. For the rest of us however, deep learning is still a pretty complex and difficult subject to grasp. If you have a basic understanding of what machine learning is, have familiarity with the Python programming language, and have some mathematical background with calculus, this book will help you get started.

The Master Algorithm

Author : Pedro Domingos
ISBN : 9780465061921
Genre : Computers
File Size : 50. 56 MB
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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—the scientific method on steroids—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—the Master Algorithm—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.

The Electronic Doppelg Nger

ISBN : 9781855845251
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File Size : 81. 78 MB
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‘Large temptations will emanate from these machine-animals, produced by people themselves, and it will be the task of a spiritual science that explores the cosmos to ensure all these temptations do not exert any damaging influence on human beings.’ In an increasingly digitised world, where both work and play are more and more taking place online and via screens, Rudolf Steiner’s dramatic statements from 1917 appear prophetic. Speaking of ‘intelligent machines’ that would appear in the future, Steiner presents a broad context that illustrates the multitude of challenges human beings will face. If humanity and the Earth are to continue to evolve together with the cosmos, and not be cut off from it entirely, we will need to work consciously and spiritually to create a counterweight to such phenomena. In the lectures gathered here, edited with commentary and notes by Andreas Neider, Rudolf Steiner addresses a topic that he was never to speak of again: the secret of the ‘geographical’ or the ‘ahrimanic’ doppelgänger. The human nervous system houses an entity that does not belong to its constitution, he states. This is an ahrimanic being which enters the body shortly before birth and leaves at death, providing the basis for all electrical currents that are needed to process and coordinate sense perceptions and react to them. Based on his spiritual research, Rudolf Steiner discusses this doppelgänger or ‘double’ in the wider context of historic occult events relating to ‘spirits of darkness’. Specific brotherhoods seek to keep such knowledge to themselves in order to exert power and spread materialism. But this knowledge is critical, says Steiner, if the geographical doppelgänger and its challenges are to be understood.

Machine Learning In Action

Author : Peter Harrington
ISBN : 1617290181
Genre : Computers
File Size : 46. 29 MB
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Provides information on the concepts of machine theory, covering such topics as statistical data processing, data visualization, and forecasting.

Machine Learning For Dummies

Author : John Paul Mueller
ISBN : 9781119245773
Genre : Computers
File Size : 61. 52 MB
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Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data—or anything in between—this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

Artificial Intelligence Methodology Systems And Applications

Author : Christo Dichev
ISBN : 9783319447483
Genre : Computers
File Size : 47. 4 MB
Format : PDF
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This book constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2016, held in Varna, Bulgaria in September 2015. The 32 revised full papers 6 poster papers presented were carefully reviewed and selected from 86 submissions. They cover a wide range of topics in AI: from machine learning to natural language systems, from information extraction to text mining, from knowledge representation to soft computing; from theoretical issues to real-world applications.

Google It

Author : Newton Lee
ISBN : 9781493964154
Genre : Computers
File Size : 80. 77 MB
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From Google search to self-driving cars to human longevity, is Alphabet creating a neoteric Garden of Eden or Bentham’s Panopticon? Will King Solomon’s challenge supersede the Turing test for artificial intelligence? Can transhumanism mitigate existential threats to humankind? These are some of the overarching questions in this book, which explores the impact of information awareness on humanity starting from the Book of Genesis to the Royal Library of Alexandria in the 3rd century BC to the modern day of Google Search, IBM Watson, and Wolfram|Alpha. The book also covers Search Engine Optimization, Google AdWords, Google Maps, Google Local Search, and what every business leader must know about digital transformation. “Search is curiosity, and that will never be done,” said Google’s first female engineer and Yahoo’s sixth CEO Marissa Mayer. The truth is out there; we just need to know how to Google it! /div

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