1. 阿尼尔·阿南萨斯瓦米的《机器如何学习》（Why Machines Learn）。对机器学习的阐述极其精彩。作者在将一个纯技术话题深入浅出降维到通俗易懂的水平方面，做得不可思议。2. 尤金妮亚·程的《抽象的乐趣》（The Joy of Abstraction）……
1. Why Machines Learn - Anil Ananthaswamy Fantastic exposition of machine learning. The author does an amazing job of bringing a technical subject down to an easily readable level. 2. The Joy of Abstraction - Eugenia Cheng…
另一本我强烈推荐用来学习机器学习/Transformer 背后数学（或者至少很好地理解其工作原理）的书是 Anil Ananthaswamy 的《Why Machines Learn: The Elegant Math Behind Modern AI》。我去年读了这本书，发现它在节奏把控和建立对最重要数学概念的“如何与为何”的直觉方面极其出色……
Another book which I would highly recommend for learning the math (or at least getting a very good idea of how it works) behind machine learning/transformers is "Why Machines Learn: The Elegant Math Behind Modern AI" by Anil Ananthaswamy. I read it this past year and I found it was extremely good at pacing and building up intuition to the "how and why" of most important math concepts…
我正打算沿着类似的路径看这两本书：《AI如何工作》（How AI Works）- https://nostarch.com/how-ai-works 加上《机器如何学习：现代AI背后的优雅数学》- https://www.penguinrandomhouse.com/books/677608/why-machines...
I’m starting down a similar path with these two books How AI Works - https://nostarch.com/how-ai-works + Why Machines Learn: The Elegant Math Behind Modern AI - https://www.penguinrandomhouse.com/books/677608/why-machines...
would you recommend "Why Machines Learn: The Elegant Math Behind Modern AI" to someone with more knowledge? what's the level of the book? for beginners or intermediates?
…know how everything worked - even though it had no hope of replicating most of it. Looking back, it was an ideal start to a 40 year career as a software engineer. And of course currently I'm reading "Why Machines Learn: The Elegant Maths Behind Modern AI" because the urge to understand the machines I want to master and control hasn't gone away.
1. 阿尼尔·阿南萨斯瓦米的《机器如何学习》（Why Machines Learn）。对机器学习的阐述极其精彩。作者在将一个纯技术话题深入浅出降维到通俗易懂的水平方面，做得不可思议。2. 尤金妮亚·程的《抽象的乐趣》（The Joy of Abstraction）……
1. Why Machines Learn - Anil Ananthaswamy Fantastic exposition of machine learning. The author does an amazing job of bringing a technical subject down to an easily readable level. 2. The Joy of Abstraction - Eugenia Cheng…
另一本我强烈推荐用来学习机器学习/Transformer 背后数学（或者至少很好地理解其工作原理）的书是 Anil Ananthaswamy 的《Why Machines Learn: The Elegant Math Behind Modern AI》。我去年读了这本书，发现它在节奏把控和建立对最重要数学概念的“如何与为何”的直觉方面极其出色……
Another book which I would highly recommend for learning the math (or at least getting a very good idea of how it works) behind machine learning/transformers is "Why Machines Learn: The Elegant Math Behind Modern AI" by Anil Ananthaswamy. I read it this past year and I found it was extremely good at pacing and building up intuition to the "how and why" of most important math concepts…
顺便问句——这里有人读过阿尼尔·阿南萨斯瓦米的《机器如何学习：现代AI背后的优雅数学》（Why Machines Learn : The Elegant Math behind Modern AI）吗？想听听偏技术视角的书评。
Btw - Has anybody here read Anil Ananthaswamy's Why Machines Learn : The Elegant Math behind Modern AI ? Would like to get a technical review of this.
我正打算沿着类似的路径看这两本书：《AI如何工作》（How AI Works）- https://nostarch.com/how-ai-works 加上《机器如何学习：现代AI背后的优雅数学》- https://www.penguinrandomhouse.com/books/677608/why-machines...
I’m starting down a similar path with these two books How AI Works - https://nostarch.com/how-ai-works + Why Machines Learn: The Elegant Math Behind Modern AI - https://www.penguinrandomhouse.com/books/677608/why-machines...
你会把《机器如何学习：现代AI背后的优雅数学》推荐给已经有一定基础的人吗？这本书难度如何？适合初学者还是进阶读者？
would you recommend "Why Machines Learn: The Elegant Math Behind Modern AI" to someone with more knowledge? what's the level of the book? for beginners or intermediates?
……想知道所有东西是怎么运转的——哪怕根本没指望能复刻出其中的大部分。回想起来，这对我长达40年的软件工程师生涯来说是一个完美的开端。当然，我最近正在读《机器如何学习：现代AI背后的优雅数学》，因为那种想要理解并彻底驾驭、掌控机器的冲动，从未消退。
…know how everything worked - even though it had no hope of replicating most of it. Looking back, it was an ideal start to a 40 year career as a software engineer. And of course currently I'm reading "Why Machines Learn: The Elegant Maths Behind Modern AI" because the urge to understand the machines I want to master and control hasn't gone away.