Topics:

• Week 1: Spark Tutorial (a video is available through Stanford CS246), Frequent Itemsets Mining

• Week 2: Locality-Sensitive Hashing

• Week 3: Clustering, Dimensionality Reduction

• Week 4: Recommender Systems

• Week 5: PageRank, Community Detection

• Week 6: Graphs Representation Learning

• Week 7: Large-Scale Machine Learning

• Week 8: Mining Data Streams

• Week 9: Optimizing Submodular Functions, Causal Inference