Machine Learning Crash Course
Looking through the topics covered, the standard AI-course caveats (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=16247629" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=16247629</a>) apply.<p>Yes, AI&#x2F;ML MOOCs teach the corresponding tools well, and the creation of new tools like Keras make the field much more accessible. The obsolete gatekeeping by the AI&#x2F;ML elites who say &quot;you can&#x27;t use AI&#x2F;ML unless you have a PhD&#x2F;5 years research experience&quot; is one of the things I really hate about the industry.<p>However, contrary to the thought pieces that tend to pop up, taking and passing a crash course doesn&#x27;t mean you&#x27;ll be an expert in the field (and this applies for most MOOCs, honestly). They&#x27;re very good for learning an overview of the technology, but nothing beats applying the tools on a real-world, noisy dataset, and solving the inevitable little problems that crop up during the process.<p>Reviewing the Keras documentation (<a href="https:&#x2F;&#x2F;keras.io" rel="nofollow">https:&#x2F;&#x2F;keras.io</a>) and examples (<a href="https:&#x2F;&#x2F;github.com&#x2F;keras-team&#x2F;keras&#x2F;tree&#x2F;master&#x2F;examples" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;keras-team&#x2F;keras&#x2F;tree&#x2F;master&#x2F;examples</a>) are honestly much better teachers of AI&#x2F;ML than any MOOC, in my opinion.<p>(Of course, Keras is now a part of TensorFlow, so there&#x27;s a neat Google vertical intergration with this crash course!)