Learning Machine Learning
summary
Live demos implement a Naive Bayes classifier and a genetic algorithm in JavaScript, the classifier trained via a Tinder‑style swipe demo and the GA evolved an array of four numbers that sum to 200, reaching a solution after about 12,610 generations. A small Twitter sentiment script streams keywords and reports hockey 1.5 versus football 0.95. Mentions modern tools like TensorFlow.js and contrasts supervised versus unsupervised methods, showing working code and concrete iteration counts rather than vague promises.
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chapters (11)
- 0:00Start
- 5:17Artificial Intelligence
- 6:06Examples in real life
- 8:13Machine Learning
- 12:52Deep Learning & Big Data
- 13:56Neural Networks
- 18:32Bayes Theorem
- 20:14Probability that a chocolate has nuts
- 20:47Do round, light chocolates have nuts?
- 27:33Sentiment Analysis
- 40:18Genetic Algorithm in code
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