~ Lecture Slides for Spring 2020 ~
- Topic 1 -- Overview: The Era of Big Data [posted on Oct 14]
- Topic 2 -- MapReduce and Related Systems [posted on Oct 21]
- Topic 3 -- Linear Regression and Gradient Descent [posted on Oct 28]
- Topic 4 -- Gradient Descent Algorithms-1 [posted on Nov 11]
- Topic 4 -- Gradient Descent Algorithms-2 [posted on Nov 11]
- Topic 4 -- Gradient Descent Algorithms-3 [posted on Nov 11]
- Topic 5 -- Support Vector Machines [posted on Nov 11]
- Topic 6 -- Scalable Clustering [posted on Dec 2]
- Topic 7 -- PageRank [posted on Dec 2]
- Topic 8 -- Introduction to Neural Networks [posted on June 2]
- Topic 9 -- RNN and LSTM [posted on June 9]
- Topic 10 -- Reinforcement Learning [posted on June 22]
Topic 11 -- Recommendation Systems [posted on June 29]