Making Friends with Machine Learning: Regression

Make friends with the amazing power of machine learning! In this video, Cassie walks you through machine learning terminology and basic concepts by applying regression to smoothie recipes. She'll show you what it means to build models, make predictions, and minimize errors in your loss function. You'll learn why feature engineering is so important and see concepts like optimization brought to life with pictures. Watch the video to find out what happens as we try on different solutions to the same problem and you'll see why regression is still a popular approach today even though it has been around for 200 years!
Speaker: Cassie Kozyrkov
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[@jjpp1993]

I so admire her, she's literally having a flawless dance with the concepts.

[@bsarioz]

I love analogies, and I haven't seen too many great analogies when it comes to machine learning. This has got to be one of the best :)

[@ai.simplified..]

I,ve watched many clips but No one explained it that easy,Thx

[@eduardo_dito]

Best intro to ML I've seen, she is great

[@kyle_wagner_music]

Great intro to the ML way of doing regression!

[@AbdurrahmanKocukcu]

Clean and lean introduction 👏🏼

[@marvinlessknown3702]

bravo shes very good teacher!

[@mikemihay]

Awesome video!

[@dsemrouni]

13:54
"Can we do a model that does fat percentage times weight?"
This is effectively what they've done in the next slide, since fat(g) = fat% × weight. Of course they added carbohydrate and protein but the essence is there: using an amount and not a percentage.
Great example and talk.

[@digigoliath]

Very engaging & awesome intro to the subject!!!

[@googlecloudtech]

Glad you enjoyed it!

[@sullyh1034]

so engaging!
Where can I find more stuff by her?

[@ai.simplified..]

Her chanle

[@abhishekjadhav8319]

This adds-on more attraction towards joining Google :)

[@ldandco]

Strange she didn't use puppies this time.

[@DaveScottAggie]

"Who even does Calculus anymore? So old school." Ha.

[@randomthoughts28]

nowhere in the video the speaker does feature engineering as she claims: simply adding more features is not feature engineering

[@nunliski]

My god I hate Google people.