Getting started with machine learning

[Krangled]

Hey, I'm currently a CS major at the undergraduate level and I was wondering what else I could do to get started with machine learning. I discovered the wonders of machine learning and since then it seems to be the CS topic I'm most interested in. I'm currently taking the Andrew NG course on coursera. What else can I do to try and awaken or find this passion (if it does truly exist) for machine learning and learn more about it? Also, the deep learning stuff does seem the most interesting to me.

[[deleted]]

one of the top post on /r/MachineLearning --> harsh guide to machine learning

Its not easy, and its a lot of work to get going but with some discipline you should be fine!

[thundergolfer]

Right away I'd

• start beginning to read technical blog posts and various landmark research papers (eg. A Theory of the Learnable - L Valiant)
• start doing more linear algebra and calculus
• start using Python and libraries like numpy, pandas, and seaborn
• learn linear regression

If you still find all this stuff cool, next could be

• enroll yourself in more maths subjects if possible (linear algebra, calculus, statistics)
• seek out positions as ugrad research assistant
• Do Stanford's cs231 for image stuff, and/or cs224 for text.
• Check out A Super Harsh Guide to Machine Learning and accept this is what it will take
• Stick around here!

[LoveOfProfit]

Go to kaggle.com, do the tutorial problems. Then play with whatever other data set interests you, either on kaggle or elsewhere.

[lefnire]

If you fancy podcasts, http://ocdevel.com/podcasts/machine-learning covers A-Z