Learning Machine Learning

on YouTube ↗48m

" summary

Covers practical basics: teaches Naive Bayes classifier and a sentiment score from -5 to +5, with a live Twitter stream comparing Canada and Germany; provides JavaScript/PHP implementations on GitHub (classifier ~78 lines) and a Tinder‑style language classifier that learns English vs French by counting word occurrences; demos a genetic algorithm that finds four numbers summing to 200 in ~256 (sometimes ~96) generations; uses Twitter streams, simple probability math, mutation/crossover, and points to TensorFlow / cloud ML for heavier work.

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" chapters (19)

1. 0:00Intro
2. 3:45About me
3. 4:08Our office
4. 5:00Agenda
5. 5:26Artificial Intelligence
6. 6:01What is Artificial Intelligence
7. 9:10What is Machine Learning
8. 11:19Microsoft Bot
9. 13:13Deep Learning
10. 15:56Unsupervised
11. 16:49Knavebased classifier
12. 17:08Bayes theorem
13. 18:06Nuts in chocolate
14. 19:39Classification
15. 20:45Demo
16. 28:44Genetic Algorithm
17. 29:51How does it work
18. 31:17Autodesk Dreamcatcher
19. 37:49Academic Example

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