Secrets of Machine Learning

机器学习的秘密:机器是如何学习的,它对你意味着什么

人工智能

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作      者
出  版 社
出版时间
2024年02月14日
装      帧
精装
ISBN
9781800614888
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页      码
188 pp
语      种
英文
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库存 30 本
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图书简介
There’s already a multitude of technical literature and textbooks on machine learning and AI, along with some fear-mongering populist work worrying about the rise of killer robots — but not much in between. What’s needed is a clear-sighted explanation for the informed layperson of what this new technology is, what it does, how it works, and why it’s so important. And this is it.Secrets of Machine Learning gets to the heart of the revolutionary new technology that is developing all around us. Journalist and news product manager Tom Kohn explains with precision how the different facets of machine learning work, how companies are using it, and why it is permeating all parts of society right now. While this book does not gloss over hard technical concepts, it cuts through the arcane science and jargon in a clear and understandable way.The combination of a surge in computer processing power and the sheer quantities of data available that can be used to train models, means machine learning is now possible in ways that were wholly unthinkable just five years ago. Computers can recognize potential lung cancer better than doctors, detect fraud better than bankers, and create fake videos almost impossible to tell apart from the real thing. To some degree, they already drive our cars.Want to know how Netflix recommends your movies, or why Siri can’t answer your question on what to eat for dinner? Read this book.Key FeaturesInterest in the topic of machine learning has exploded in recent years. Everybody wants to read about artificial intelligenceThe target audience is the educated layperson, rather than computer science professionals or academics. Specifically, those in industries being disrupted by machine learning, or where AI is changing the nature of clerical work and different sectors of the economyThis book addresses how machine learning affects the futures of the industries it is adopted in, how it works, what its strengths and weaknesses are, what it means for people’s lives and livelihoods, and what skills are needed to navigate it
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