2 months ago

I used Machine Learning to hack baseball

I always sucked at baseball... until now. Go to https://NordVPN.com/MarkRober and use code MARKROBER to get 75% off a 3 year plan and an extra month for free.

Go subscribe to Jabril's channel!!! https://www.youtube.com/channel/UCQALLeQPoZdZC4JNUboVEUg

Simple app (it's actually just a webpage for now): http://jabrils.com/sp/
Complex app using ML: https://github.com/Jabrils/Uncle-Rober-Baseball-Predictor




***Music***
0:29 Dansez - Fasion https://www.epidemicsound.com/track/QXxs7iZ3Rn
1:01 Dive - Lvly https://www.epidemicsound.com/track/4JmHD4z5Bj
2:19 Dansez - Fasion https://www.epidemicsound.com/track/QXxs7iZ3Rn
4:16 Kalimba Jam - Blue Wednesday https://soundcloud.com/bluewednesday/
5:23 Take Me Out to the Ballgame -Matt Cherne- https://smarturl.it/einsteinbeats
7:04 Arrow - Andrew Applepie http://andrewapplepie.com/
8:18 Cereal Killa - Blue Wednesday https://soundcloud.com/bluewednesday/
11:16 Salamanca - Sarah, the Illstrumentalist https://www.epidemicsound.com/track/nAhVeSoknF
13:12 Q - Blue Wednesday https://soundcloud.com/bluewednesday/
14:18 Too Happy to be cool - Notebreak https://soundcloud.com/notebreak/dubstep-too-happy-to-be-cool



Summary: I wanted to see if I could make an app that could decode baseball signs. Turns out we could and it was a great opportunity for me to learn more about Machine Learning and neural networks from my friend Jabril.



MERCH-
They are soft- https://teespring.com/stores/markrober


PLEASE CONSIDER SUBSCRIBING: http://tinyurl.com/MarkRober-Sub

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I make videos like this once a month all year long while supplies last:

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Mark Rober (born 11 March 1980) is an American engineer, inventor and YouTube personality. He is best known for his YouTube videos on popular science, do-it-yourself gadgets and creative ideas. His most popular invention is Digital Dudz, a range of Halloween costumes that integrate mobile apps with clothing. As an e... More
YouTube is an American video-sharing website headquartered in San Bruno, California. Since its establishment in 2005, the website has featured a "most viewed" section, which lists the most-viewed videos on the site. Although the most-viewed videos were initially viral videos, such as "Evolution of Dance" and "Charli... More

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