Audible会員プラン登録で、20万以上の対象タイトルが聴き放題。

プレビューの再生
  • Why Machines Learn

  • The Elegant Maths Behind Modern AI
  • 著者: Anil Ananthaswamy
  • ナレーター: Rene Ruiz
  • 再生時間: 13 時間 30 分

聴き放題対象外タイトルです。Audible会員登録で、非会員価格の30%OFFで購入できます。

無料体験で、20万以上の対象作品が聴き放題に
アプリならオフライン再生可能
プロの声優や俳優の朗読も楽しめる
Audibleでしか聴けない本やポッドキャストも多数
無料体験終了後は月額¥1,500。いつでも退会できます。

Why Machines Learn

著者: Anil Ananthaswamy
ナレーター: Rene Ruiz
¥2,660で会員登録し購入

無料体験終了後は月額¥1,500。いつでも退会できます。

¥3,800 で購入

¥3,800 で購入

下4桁がのクレジットカードで支払う
ボタンを押すと、Audibleの利用規約およびAmazonのプライバシー規約同意したものとみなされます。支払方法および返品等についてはこちら

あらすじ・解説

Brought to you by Penguin.

Machine-learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence discoveries in chemistry, biology and physics - the study of genomes, extra-solar planets, even the intricacies of quantum systems.

We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. It took the development of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see all around us today. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules.

As Ananthaswamy resonantly concludes, to make the most of our most wondrous technologies we need to understand their profound limitations - the clues lie in the maths that makes AI possible.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2024 Anil Ananthaswamy (P)2024 Penguin Audio

Why Machines Learnに寄せられたリスナーの声

カスタマーレビュー:以下のタブを選択することで、他のサイトのレビューをご覧になれます。