[S1E14] Naïve Bayes | 5 Minutes With Ingo

Ingo is back fresh from Germany which means it’s time to dive into this week’s data science topic!
Today, Ingo covers Naïve Bayes. In machine learning, Naïve Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with naïve assumptions about the interdependency of the attributes. To demonstrate how it works, Ingo uses the famous Golf data set (aka “weather data”). And that’s appropriate because our sales titan Richard Grochmal is a fiercely competitive golfer who’s tournament skills are legendary within our community. (This one is for you, Richard!)
Also, Data Scientist #7 feeds on some lovely greens, Ingo temporarily loses Marla, Whiteboard #2 gets some much needed attention and Graeme finally achieves his career goals of editing scenes from Caddyshack into a corporate video.
MUSIC CREDITS:
Soul Bossa Nova, The Only Way Is Up - Always Summer, Quincy Jones, Upon My Soul Records

[@BrandataTV]

Really enjoyed all the creative cuts and jokes. It takes courage to make something with personality. Approved!

[@lindasegerious9248]

Interesting, the creative cuts had exactly the opposite effect on me.

[@CreepyPastaSalad]

Would love to see an Ingo video for neural networks

[@vman049]

Informative and funny. Great work!

[@dyjiang1350]

I love the houseman in the end of the video!

[@dhoomketu731]

This is the coolest explanation of naive baye's on the entire web.

[@karinazamorategui8272]

Great!

[@kevingordish9529]

Great Video. I was walking thru data to teach myself. Minor correction for dry erase board: For Sunny weather there are 3 yes and 2 no golf days. It was accidentally reversed. Does not impact concept of video.

[@lukapevec]

Horrible camera movements but very valuable info, thx for help!

[@jorostuff]

Is "Ingo" meant to represent the way he comes "In", does the 5-minute thing, and then "Go"es?

[@mahmoudshaltoot7094]

i think p(sunny) = 3/9 in case 'yes' and 2/5 in case 'no'

[@wendyli6238]

what happend to the dog at the end? :o what a cliffhanger

[@tacticaladventures4916]

This is so crazy lol

[@arjunkumar-rx8lg]

Sorry, to inform you sir that your Sunny count is 3/9 for 'yes'. not 2/9

[@dontusehername]

So the prerequisite for this tutorial is that I already know everything above naiye bayes ..hmm

[@dontusehername]

Alec baldwin teaching ML now?

[@albamustafaj5454]

That is not likelihood, multiplying with likelihood with P(x) gives MAP

[@waseemabbas5641]

as much as i enjoyed watching the video, I hated the fact that some poor person had to hold the board for entire video. I felt like that person was treated the same was Joey tribbiani was in his butt double role.