Kaggle Learn review: there is a deep learning track and it is worth your time
Since the "How Do I Learn AI/ML" question pops up on Hacker News once a month (most recent: <a href="https://news.ycombinator.com/item?id=16138353" rel="nofollow">https://news.ycombinator.com/item?id=16138353</a>), here's my comments:<p>Yes, Al/ML MOOCs teach the corresponding tools well, and the creation of new tools like Keras make the field much more accessable. The obsolete gatekeeping by the AI/ML elites who say "you can't use AI/ML unless you have a PhD/5 years research experience" is one of the things I <i>really</i> hate about the industry.<p><i>However</i>, contrary to the thought pieces that tend to pop up, taking and passing a MOOC doesn't mean you'll be an expert in the field (and this applies for most MOOCs, honestly). They're very good for learning an overview of the technology, but <i>nothing</i> beats appling the tools on a real-world, <i>noisy</i> dataset, and solving the inevitable little problems that crop up during the process.<p>Reviewing the Keras documentation (<a href="https://keras.io" rel="nofollow">https://keras.io</a>) and examples (<a href="https://github.com/keras-team/keras/tree/master/examples" rel="nofollow">https://github.com/keras-team/keras/tree/master/examples</a>) are honestly much better teachers of AI/ML than any MOOC, in my opinion.