Secrets of Machine Learning: How It Works and What It Means for You

Kohn, Tom

  • 出版商: World Scientific Pub
  • 出版日期: 2024-04-09
  • 售價: $1,380
  • 貴賓價: 9.5$1,311
  • 語言: 英文
  • 頁數: 240
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1800615027
  • ISBN-13: 9781800615021
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

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商品描述

Cutting through the mass of technical literature on machine learning and AI and the plethora of fear-mongering books on the rise of killer robots, Secrets of Machine Learning offers a clear-sighted explanation for the informed reader of what this new technology is, what it does, how it works, and why it's so important.The surge in computer processing power along with the sheer quantities of training data available, means machine learning is now possible in ways wholly unthinkable just five years ago. Computers can recognize potential lung cancer better than doctors, detect fraud better than bankers, and create fake video almost impossible to tell from the real thing. And next, they are likely to drive our cars.Journalist and news product manager Tom Kohn gets to the heart of the revolutionary new technology that is developing all around us, explaining 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. The book guides readers through the arcane science and jargon in a clear and understandable way, but is detailed enough that it doesn't gloss over the hard technical concepts.If you want to know why Siri sometimes misunderstands you, how Netflix recommends your movies, and how machine learning will affect your job -- read this book.

商品描述(中文翻譯)

《機器學習的秘密》穿越了關於機器學習和人工智慧的大量技術文獻,以及關於殺手機器人崛起的恐懼煽動書籍的迷霧,為有見識的讀者提供了一個清晰的解釋:這項新技術是什麼,它能做什麼,它是如何工作的,以及為什麼它如此重要。計算機處理能力的激增以及大量的訓練數據的可用性,意味著機器學習現在以前所未有的方式成為可能。計算機可以比醫生更好地識別潛在的肺癌,比銀行家更好地檢測欺詐,並創造出幾乎無法與真實事物區分的假視頻。接下來,它們很可能會開車代替我們。記者和新聞產品經理湯姆·科恩深入探討了正在我們周圍發展的革命性新技術的核心,精確解釋了機器學習的不同方面是如何工作的,公司如何使用它,以及為什麼它正在滲透到社會的各個方面。本書以清晰易懂的方式引導讀者穿越晦澀的科學和術語,但又詳細到不會忽略困難的技術概念。如果你想知道為什麼Siri有時會誤解你,Netflix如何推薦你的電影,以及機器學習將如何影響你的工作,請閱讀這本書。