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 FeaturesInterest in the topic of machine learning has exploded in recent years. Everybody wants to read about artificial intelligenceThe 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 economyThis 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
Introduction: It’s All Just Pixels; Terminology Unjumbled; Recommendation Nation; Search and Seek; Cool Cats and Hotdogs; Smile for the Camera; Drone Swarms and Slaughterbots; Word Miners; Lost in Transliteration; Movement of the Moment; Roomba Rhumba; Sensory Overload; Workplace Automation Nation; Image Problem; Ethics of Data Lakes; Economist Forecast Thyself; Lords of Finance; Finding Fraud; Self-Drivers; Don’t Believe the Hyperdrive; Adversarial Art; Education, Education, Education; Social Networking; Virtual Assistance; Access Denied; Wild at Heart; Generative Generation; Conclusion
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