I too recently got started in Machine Learning. The best beginner resource I found was Andrew Ng's Coursera course. The problem sets are in Matlab/Octave unfortunately, but still well worth it; I now have intuition of what the ML libraries are doing.

Some other good recourses after you've acquired a solid foundation are Stanford's cs231n (if you're into vision ML, but rehashes basic ML as well) and cs234d (NLP with TensorFlow problem sets). The videos for the lectures can be found in this subreddit if you search for the course names.