Coursera ML Specialization notes covering regression, classification, clustering, and neural networks.
Machine Learning Specialization 2022
Coursera: Machine Learning Specialization (2022)
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Course 1: Supervised Machine Learning: Regression and Classification
- Week 1: Introduction to Machine Learning
- Week 2: Regression with multiple input variables
- Week 3: Classification
Course 2: Advanced Learning Algorithms
- Week 1: Neural Networks
- Week 2: Neural network training
Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning
- Week 1-4: Clustering, anomaly detection, recommender systems, reinforcement learning
Course 4: ML Clustering & Retrieval
- Case Studies: Finding Similar Documents
- K-nearest neighbors, KD-trees, locality sensitive hashing
- K-means, expectation maximization (EM), latent Dirichlet allocation (LDA)
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