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Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

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Re: Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

#6
The presentation goes straight from from linear regression and classification to computer vision and reinforcement learning.

The practical value of ML/AI is what’s in between and is something that isn’t often discussed between all the hype. ML/AI can be used to build models which work well with nontabular data (e.g. text and images), and can solve such regression/classification problems more cleanly. (and with tools like Keras, they’re as easy to train and deploy as a normal model)

Re: Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

#8
If I understand correctly those are slides from a Googler (Not sure if those slides have corporate approval), that probably have as a side goal to showcase that Google is a fun place to do ML.

Not that I am judging or anything but, the author's personal website http://www.jasonmayes.com/ whose link is displayed multiple times is a giant ad to get hired elsewhere and show at least some desire for other career opportunities. Not sure if that reflects greatly on the company.

Re: Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

#10

If I understand correctly those are slides from a Googler (Not sure if those slides have corporate approval), that probably have as a side goal to showcase that Google is a fun place to do ML. Not that I am judging or anything but, the author's personal website http://www.jasonmayes.com/ whose link is displayed multiple times is a giant ad to get hired elsewhere and show at least some desire for other career opportun…

Given the number of plugs for Google products/projects/research (especially near the end) it's probably intended to be more of an ad for Google.
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