《机器学习》封面

机器学习

Machine learning

Peter A. Flach · 初版 2012 年

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《机器学习》汇集了理解数据的全部前沿方法。书中配有数百个演算示例和说明图表,以直观而精确的方式阐释这些方法背后的原理,无论初学者还是经验丰富的读者都会从中受益。

Hacker News 上怎么说

  • 我非常喜欢 Peter Flach 的《Machine Learning》。我觉得它讲解得非常透彻,而且不像 AIMA 那样过时。

    I really liked Peter Flach - Machine Learning. I think it's really well versed and not as aged as AIMA

  • 可惜我认识的其他人不多。我还有这本书:http://www.amazon.com/Machine-Learning-Science-Algorithms-Se... 而且因为我现在的生活离任何学术数学研究都太远了,大概到第 3 页我就懵了。我的计划是啃一本线性代数和统计学的书,再上些课程……

    I unfortunately don't know too many others. I have this book as well: http://www.amazon.com/Machine-Learning-Science-Algorithms-Se... and because I'm so far removed from any academic math study now in my life, by about page 3 I was lost. My plan is to dive into Linear Algebra and Statistics book and courses…

  • 目前在读:* 《Machine Learning》 - Peter Flach * 《Guns, Germs, and Steel》 - Jared Diamond * 《Dune》(第三次读了,我爱它 :) ) - Frank Herbert 我通常会读一些 pg、sama、avc 或其他知名随笔作家的……

    Currently reading: * Machine Learning - Peter Flach * Guns, Germs, and Steel - Jared Diamond * Dune ( for the third time, I love it :) ) - Frank Herbert I usually read some of pg's, sama's, avc's or some other prominant essayist in the…

  • ……识别工具、大量噪声下的机器学习,以及无监督学习。我没有 PGM,但它对这些事大概也帮不上什么忙。我认识一些机器学习大概 4 级的人,他们中的大多数对这些主题并不了解。另一方面,Peter Flach 的《Machine Learning》至少提到了它们,并给出了其他资源的指引。“深度学习”正变得有点……

    …recognition tools, ML in the presence of lots of noise, and unsupervised learning. I don't own PGM, but it probably wouldn't help much in these matters either. I know guys who are probably level 4 at machine learning who don't know about most of these subjects. On the other hand, Peter Flach's book "Machine Learning" at least mentions them and makes pointers to other resources. "Deep learning" is becoming kind of…

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