给黑客的机器学习
Machine learning for hackers
Drew Conway · 初版 2012 年
6人推荐
18位读者提及
21次提及
为什么值得读
- 采用实用且基于案例的研究方法
- 适合已有编程基础的开发者作为入门起点
- 便于理解常见机器学习问题的实际应用
一本兼顾机器学习原理与实际应用的平衡导论。引自封面：“助你入门的案例研究与算法”。
Hacker News 上怎么说
正在加载完整评论……
Machine learning for hackers
Drew Conway · 初版 2012 年
一本兼顾机器学习原理与实际应用的平衡导论。引自封面：“助你入门的案例研究与算法”。
正在加载完整评论……
吴恩达（Andrew Ng）在 Coursera 上的机器学习课程据说门槛挺低的。我也听人夸过《Machine Learning for Hackers》（http://www.amazon.com/Machine-Learning-Hackers-Drew-Conway/d...）。说到底，机器学习是一门数学学科。你可以找个平缓的入门方式带你走到山脚下，但“如果你……
Andrew Ng's Coursera ML course is supposed to be pretty accessible. I've also heard good things about Machine Learning for Hackers (http://www.amazon.com/Machine-Learning-Hackers-Drew-Conway/d...). Ultimately, ML is a mathematical discipline. You can ask for a gentle approach that gets you to the foot of the mountain, but "if you…
《四步创业法》 - Steve Blank 《史蒂夫·乔布斯传》 - Walter Isaacson 《人工生命》 - Steven Levy 《写作这回事》 - Stephen King 《Machine Learning for Hackers》 - Drew Conway 和 John Myles White 《医生如何思考》 - Jerome Groopman 《胆固醇的真相：我的指标到底出什么鬼问题了？》 - Jimmy Moore & Eric C. Westman 《门口的野蛮人：……的陨落
The Four Steps to the Epiphany - Steve Blank Steve Jobs - Walter Isaacson Artificial Life - Steven Levy On Writing - Stephen King Machine Learning for Hackers - Drew Conway and John Myles White How Doctors Think - Jerome Goopman Cholesterol Clarity: What The HDL Is Wrong With My Numbers? - Jimmy Moore & Eric C. Westman Barbarians at the Gate: The Fall of…
我想你既然混这里，应该已经熟练掌握某些编程语言了吧。如果是这样，我建议从这里开始：Conway 与 Miles 写的《Machine Learning for Hackers: Case Studies and Algorithms to Get You Started》。一旦你读完并理解了这本书，我就建议去上网课了……
I suppose you being here means that you are already fluent in some programming languages. If so, I would start here: Conway & Miles - Machine Learning for Hackers: Case Studies and Algorithms to Get You Started Once you read and understood this, I'd do an online course...
……它们涵盖的内容差异太大，根本没什么绝对的阅读顺序。在这个书单里，《Think Stats》可能适合作为第一本，接着你可以延伸到《Programming Collective Intelligence》和《Machine Learning for Hackers》，这两本大体上差不多，只是前一本用 Python，后一本用 R（而且稍微进阶一点）；或者也可以读偏统计方向的《Data Analysis with Open Source Tools》……
…they cover things that are so different there isn't any real order. From this bundle, "Think Stats" might be a good first book, and then you can branch out to "Programming Collective Intelligence" and "Machine Learning for Hackers", which are more or less the same thing, except the first one is in Python and the second one in R (and slightly more advanced), or "Data Analysis with open source tools", which is more statistics oriented…
我觉得《Machine Learning for Hackers》挺不错的，是一本偏实战、基于案例的书，适合用来学习解决和理解若干机器学习问题中的门道。http://shop.oreilly.com/product/0636920018483.do http://www.amazon.com/Machine-Learning-for-Hackers-ebook/dp/...……
I found Machine Learning for Hackers to be good as a practical, case study based book for learning to apply and understand what is going on in several machine learning problems. http://shop.oreilly.com/product/0636920018483.do http://www.amazon.com/Machine-Learning-for-Hackers-ebook/dp/...…
跳过 Packt 出的书，去买 O'Reilly 出的《Machine Learning for Hackers》吧。
Skip the Packt books and get 'Machine learning for hackers' from O'Reilly.