# Machine Learning: Intro to Machine Learning for Coders

- [Machine Learning: 2017 Edition](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition.md)
- [Lesson 1 - Introduction to Random Forests](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-1-intro-random-forests.md)
- [Lesson 2 - Random Forest Deep Dive](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-2-random-forest-deep-dive.md)
- [Lesson 3 - Feature Engineering](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-3-feature-engineering.md)
- [Lesson 4 - Random Forest Interpretation](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-4-random-forest-interpretation.md)
- [Lesson 5 - Train vs Test](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-5-train-vs-test.md)
- [Lesson 6 - What is Machine Learning and Why Do We Use It](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-6-what-is-machine-learning-and-why-do-we-use-it.md)
- [Lesson 7 - Decision Trees Ensemble](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-7-decision-trees-ensemble.md)
- [Lesson 8 - Basic Neural Networks](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-8-basic-neural-networks.md)
- [Lesson 9 - SGD; Neural Network Training; Broadcasting](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-9-sgd-neural-network-training-broadcasting.md)
- [Lesson 10 - Logistic Regression; NLP; Naive Bayes](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-10-logistic-regression-nlp-naive-bayes.md)
- [Lesson 11 - Structured and Time-Series Data](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-11-structured-and-time-series-data.md)
- [Lesson 12 - Entity Embeddings; Data Science and Ethics](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-12-entity-embeddings-data-science-and-ethics.md)


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