Machine learning

What Hacker News says

1. tstAug 2014
   You can check out Machine Learning: An Algorithmic Perspective by Stephen Marsland[0] which takes a less math-driven approach to ML. The code is available online if you want to take a look at it (it's written in Python)[1].

   [0]: http://www.crcpress.com/product/isbn/9781420067187

   [1]: http://seat.massey.ac.nz/personal/s.r.marsland/MLBook.html

   thread
2. awjApr 2011
   What I have in the room with me:

   1. Modern Algebra by John R. Durbin

   2. Introduction to the Theory of Computation by Michael Sipser

   3. Machine Learning - An Algorithmic Perspective by Stephen Marsland (not quite on the same level as the above two, but still pretty solid)

   I think Tanenbaum's Operating System and Appel's Compilers books both go in this category too, they're big but not compared to their subject matter. But, I've seen enough people disappointed in both to think this is more my personal opinion at play.

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3. krannerNov 2010
   I'd like to add that Stephen Marsland's 'Machine Learning: An Algorithmic Perspective' is a new book in the same practical/introductory class. The code is mostly numpy.

   http://www-ist.massey.ac.nz/smarsland/MLbook.html

   thread
4. pskomorochJan 2010
   To get the spirit of many of these techniques with practical examples in python using numpy/scipy check out the book "Machine Learning: An Algorithmic Perspective" by Stephen Marsland. It doesn't have the mathematical depth or proofs found in these other books, but the code is decent and will get you started doing some basic data analysis.

   http://www.amazon.com/Machine-Learning-Algorithmic-Perspecti...

   Code here: http://www-ist.massey.ac.nz/smarsland/MLbook.html

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5. elqNov 2009
   "Machine Learning: An Algorithmic Perspective" by Stephen Marsland is very good if you want to see the ideas in code and if you're not mathematically ready for hastie or bishop.

   http://seat.massey.ac.nz/personal/s.r.marsland/MLBook.html

   thread
6. gtaniOct 2014
   sure, there's 2 sides, the maths and the programming/systems

   ________

   the math is mostly the same math that physics and EE majors do for first 2 years, plus probability/stats:

   https://www.seas.harvard.edu/courses/cs281/#schedule

   http://www.zipfianacademy.com/blog/post/46864003608/a-practi...

   http://fastml.com/math-for-machine-learning/

   ________

   the general purpose programming languages mostly used are python, C++, java, and the statistical languages include R, matlab.

   there's lots of good threads at /r/machineLearning, including

   http://www.reddit.com/r/MachineLearning/comments/2i68f0/tack...

   http://www.reddit.com/r/compsci/comments/2jw14w/which_fields...

   also some books for people who haven't the rigorous math background yet are Intro Statistical Learning (James et al), the ones by Peter Flach, Steven Marsland, and Witten/Franke:

   http://www.amazon.com/Data-Mining-Practical-Techniques-Manag...

   http://www.amazon.com/Machine-Learning-Algorithmic-Perspecti...

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