CMSC644: Algorithms for Data Science - Calendar DateTitleAdditional PrepWork Due 3/3 Overview, data analysis, algorithms, Machine Learning Setting up Hash functions Leskovec et al, Ch. 1 3/10 Similarity, MinHash Locality Sensitive Hashing Leskovec et al, Ch. 3 3/17 NO LECTURE: SPRING BREAK 3/24 CLASS CANCELLED 3/31 Frequent Itemset Mining Leskovec et al, Ch. 6 4/7 Network Analysis Leskovec et al, Ch. 10 4/14 Clustering Leskovec et al, Ch. 7 4/21 Numeric Optimization Ruder (2017). An overview of gradient descent optimization algorithms 4/28 Probabilistic Inference: The EM algorithm Hastie, Tibshirani and Friedman, ESL Ch. 8.5 5/5 Probabilistic Inference, Sampling Methods 5/12 Support Vector Machines: Theory and Algorithms 5/19 Take home final discussion and closing