Learning Machine Learning
summary
Demos basic implementations in JavaScript: a Naive Bayes classifier built in ~78 lines that tokenizes words to distinguish English vs French, a simple sentiment counter using Twitter streams to compare “hockey” vs “football,” and a genetic algorithm that evolves a population of 200 four-number individuals to find numbers summing to 200 (examples converge after ~12,610 to 27,000 generations). Mentions neural nets and TensorFlow.js as the heavier option.
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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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