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- Why Machines Learn――現代AIを支える、美しき数学の物語...
Why Machines Learn――現代AIを支える、美しき数学の物語
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- ★AIの数学は、ここまで面白く読める★★2024年ノーベル物理学賞受賞 ジェフリー・ヒントン氏絶賛！★・「学習する機械」というアイデアは、どこからやってきたのか？・一度は忘れられた技術が、なぜ現代のAIで復活したのか？・人工知能の能力に、限界はあるのか？ニューラルネットワーク、勾配降下法、誤差逆伝播法、ディープラーニング――。本書では、現代AIを生み出した画期的なアイデアの数々を、数学の基礎と研究の歴史から解き明かしていきます。線形代数、微積分、確率・統計、最適化理論――。一見すると難解に思えるこれらの数学が、機械に「学習」を与えるために、どのように結びついてきたのか。ベクトルや行列の基礎から丁寧にたどることで、AIを支える数学の美しさを垣間見ることができます。本書の魅力は、数学の解説だけにとどまりません。著者は、AIの進化の最前線にいた研究者たちの証言を丹念に拾い上げ、機械学習の発展を当事者たちの視点から描き出します。一次情報に裏打ちされた語りによって、現代AIを支える数学が、臨場感あふれる「知の物語」として立ち上がります。AIを使う人、AIを作る人、そしてAIの正体を知りたい人へ――。現代のAIを本質から理解するための、知的興奮に満ちた一冊です。
| Publisher | 技術評論社 |
| Publication date | September 9, 2026 |
| Language | Japanese |
| Print length | 496 pages |
| ISBN-10 | 4297158264 |
| ISBN-13 | 978-4297158262 |
| Item Weight | 580 g |
| Dimensions | 8.27 x 5.83 x 1.18 inches (21 x 14.8 x 3 cm) |
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