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This seems a bit 100 than 101 but if anyone's looking for something more next-level, check out this ML Crash Course by Google (featuring Peter Norvig and many other Google engineers) https://developers.google.com/machine-learning/crash-course/...

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Indeed, I highly recommend the MLCC by Google if you want to go deeper technically speaking and more hands on. My deck was aimed at complete beginners (even those with no / limited math background). Having taken courses like the MLCC myself way back when I found that there were some gaps in my own knowledge before I could appreciate that in its entirety which is in part how my deck came about to being.

Nice job, man. By the way, how do you create those animated gifs for explaining?

The GIFs for the product demos such as the ones I have for Soli etc can be made by dragging an MP4 into Photoshop and then exporting for web as GIF after resizing. You can then drag those into Google slides and resize as needed.

Warning, the course uses Python 2.

Here's the discussion on HN when it was posted: https://news.ycombinator.com/item?id=16493489

I still have to agree with minimaxir's comment, but I'm nowhere near as pivotal/experienced/well-versed in ML as the parent comment.

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