Machine Learning Part 6：Recommender System
About how to use the collaborative filtering algorithm to build a recommemder system.
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Machine Learning Part 5：Clustering
Introduction to several useful unsupervised algorithms for clustering, dimensionality reduction and anomaly detection.
Machine Learning Part 4：Support Vector Machine (SVM)
The algorithm of SVM for linear classfication. Kernal functions are introduced for the application of SVM in non-linear classfications.
Machine Learning Part 3：Evaluating and Designing
An introductin to evaluating and designing machine learning algorithms. Specifically, we talk about the balance between bias and variances and the learning c...
Machine Learning Part 2： DNN
Problem representation and learning algorithms for neural networks.