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Elements of Statistical Learning vs. Understanding Machine Learning? #29

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hangtwenty opened this issue Nov 19, 2015 · 3 comments
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Elements of Statistical Learning vs. Understanding Machine Learning? #29

hangtwenty opened this issue Nov 19, 2015 · 3 comments

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@hangtwenty
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@hangtwenty hangtwenty commented Nov 19, 2015

Elements of Statistical Learning and Understanding Machine Learning are both free books, and frequently recommended as reference textbooks. As you continue towards expertise you can also go deep into these books.

Issue: need to add link to UML in guide. Also need to link to context/comparison if possible.

@hangtwenty hangtwenty changed the title Understanding Machine Learning: From Theory to Algorithms Add link to free book: Understanding Machine Learning: From Theory to Algorithms Nov 19, 2015
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@hangtwenty hangtwenty commented Dec 29, 2015

These comments on Hacker News give good context for comparing Elements of Statistical Learning (ESL) with Understanding Machine Learning (UML).

HN user arbitrage314:

I'm a math geek, but I'm also a mostly self-taught data scientist.
"The Elements of Statistical Learning" [...] is far and away the best book I've seen.
It took me hundreds of hours to get through it, but if you're looking to understand things at a pretty deep level, I'd say it's well-worth it.
Even if you stop at chapter 3, you'll still know more than most people, and you'll have a great foundation.
Hope this helps!

HN user reader5000, in reply:

Having read significant chunks of both ESL and Understanding Machine Learning (albeit UML much more recently) I would argue that for many readers UML is superior.
ESL pays short shrift to the computational complexity of learning whereas UML explicitly handles both statistical and computational complexity concerns. It doesnt matter how statistically pure your algorithm is if its running time scales exponentially with your data.
All of UML's chapters are conceptually unified even when discussing different ML algorithms, with ESL being more of a grab-bag by chapter.
Still, both high quality and free!

@hangtwenty hangtwenty changed the title Add link to free book: Understanding Machine Learning: From Theory to Algorithms Elements of Statistical Learning vs. Understanding Machine Learning? Dec 29, 2015
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@hangtwenty hangtwenty commented Dec 29, 2015

This quora thread also gives context about where Elements of Statistical Learning would fit in a self-taught Machine Learning curriculum.

hangtwenty added a commit that referenced this issue Jan 13, 2016
See #29 for more explanation. Even linked in the guide now.
Closes #29.
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@Le0nX Le0nX commented Apr 1, 2017

thx, guys!

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