#1027 overall
Machine Learning Crash Course
Google Developers
1 recommender · 1 thread · recommended in 1 year, 2018 · score 0.7
A free, self-paced introductory machine learning course from Google Developers, with interactive exercises and a focus on core ML concepts and TensorFlow tooling.
One commenter calls it a good, more interactive alternative to books for getting started with machine learning, noting it leans toward TensorFlow.
Machine Learning & AIbeginnerfreeinteractive MOOC#machine learning#introduction#tensorflow#google#self-paced
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I got my start by getting a PhD, but that's perhaps not a practical recommendation. In reality though, you might say I started learning ML by reading Mitchell in class: https://www.cs.cmu.edu/afs/cs.cmu.edu/user/mitchell/ftp/mlbo... It's dated, but it's quite approachable and does a great job explaining a lot of the fundamentals.
If you want to approach machine learning from a more statistical perspective, you could also have a look at An Introduction to Statistical Learning to start: http://www-bcf.usc.edu/~gareth/ISL/ Or if you're more mathematically inclined than the average bear, you could jump directly into The Elements of Statistical Learning: https://web.stanford.edu/~hastie/ElemStatLearn/
If you want something a little more interactive than a book though, you might have a look at Google's free crash course on machine learning: https://developers.google.com/machine-learning/crash-course/... I checked it out briefly maybe six months ago, and it seemed pretty good. It seemed a bit focused on Tensor Flow and some other tools, but that's okay.