Week | Topic | Readings | Assignments | Project (Due) | |||||
Jan 22th | Course Overview | ||||||||
Jan 27th | Data Exploration and Visualization | Research directions in data wrangling: Visualizations and transformations for usable and credible data Information Visualization and Visual Data Mining One Dataset, Visualized 25 Ways | |||||||
Jan 29th | Data Processing and Labels | Data Preprocessing for Supervised Leaning Sections 1.6, 3.1-3.5 in Data Processing in Data Mining | |||||||
Feb 3rd | Features and Feature Selection | Selection of Relevant Features in Machine Learning | |||||||
Feb 5th | Machine Learning Fundamentals | Chap 1 in Dive into Deep Learning | #1 Out | ||||||
Feb 10th | k-NN | section 4.6.5 in An Introduction to Statistical Learning by Tbishirani and section 1.3.2 in Introduction to Machine Learning by Smola | |||||||
Feb 17th | Linear Regression | section 3.1,3.2 and 3.3 in An Introduction to Statistical Machine Learning by Tbishirani | #1 Due#2 Out | ||||||
Feb 24th | Overfitting, Regularization, Bias/VarianceLearning Curves, Cross-Validation | sections 2.1.2, 2.2.1, 2.2.2 , 5.1, 6.2 and 3.3 in An Introduction to Statistical Learning by Tbishirani and section 2.4.2 of Introduction To Machine Learning by Smola | |||||||
Mar 2nd | Decision Trees | sections 8.1 in An Introduction to Statistical Learning by Tbishirani | #2 Due | ||||||
Mar 9th | Midterm Review and Exam | ||||||||
Mar 16th | Spring Break | ||||||||
Mar 23rd | Spring Break | ||||||||
Mar 30th | Neural Networks RepresentationLearning, Backpropagation | Chap 4, section 4.1, 4.7 in Dive into Deep Learning and Chap 2 in Neural Networks and Deep Learning | #3 Out (Apr 3rd) | Proposal (Apr 3rd) | |||||
Apr 6th | Convolutional Neural NetworksRecurrent Neural Networks | Chap 4, section 4.2, Chap 6, section 6.2, 6.3, 6.4, Chap 8, section 8.1, 8.2 Dive into Deep Learning | |||||||
Apr 13th | Dimensionality ReductionUnsupervised Learning, k-Means | Chap 10, section 10.1, 10.2, 10.3.1 An Introduction to Statistical Learning by Tbishirani | Update (Apr 17th) | ||||||
Apr 20th | DBSCAN, Hierarchical ClusteringSemi-Supervised Learning | Chap 10, section 10.3.2 An Introduction to Statistical Learning by Tbishirani Chap 7, section 7.2 Mining of Massive Datasets | #3 Due (Apr 20th) | ||||||
Apr 27th | Team Project Presentations | ||||||||
May 4th | Team Project Presentations | Final Report (May 4th) |
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