COMS W4995 Applied Machine Learning Spring 2018 - Schedule

Press P on slides for presenter notes.

Wk	Date	Topic	Reading	Comments
1	01/17/18	Introduction	IMLP Ch 1, APM Ch 1-2
2	01/22/18	Software infrastructure	IMLP Ch 1, git for ages 4 and up	HW 1 posted
	01/24/18	Testing, matplotlib and visualization	colormap talk, Systematising Glyph Design for Visualization (Chapter 2)
3	01/29/18	Introduction to supervised learning	IMLP p25-44, APM Ch 4-4.3, IMLP p251-262, APM Ch 4.4-4.8	HW 1 due
	01/31/18	Linear models for Regression	IMLP p45-68, APM Ch 6	HW 2 posted
4	02/05/18	Linear models for Classification	IMLP p45-68, Ch 12.1-12.2, 12.5
	02/07/18	Preprocessing and feature engineering	IMLP p132-140, IMLP p211-220, APM Ch 3	HW 2 due
5	02/12/18	Imputation and Feature Selection	IMLP p236-241, APM Ch 19	HW 3 posted
	02/14/18	Support Vector Machines	IMLP p92-103, APM Ch 13.4
6	02/19/18	Trees, Forests & Ensembles	IMLP p70-88, APM Ch 14.1-14.4
	02/21/18	Gradient Boosting, Calibration	IMLP p89-92, APM Ch 14.5
7	02/26/18	Model Evaluation  (partial)	IMLP p275-302, APM Ch 16
	02/28/18	Learning with Imbalanced Data	APM Ch16, SMOTE, Easy Ensembles
8	03/05/18	Discussion of Homework 3		HW 3 due
	03/07/18	Midterm
9	03/12/18	Spring break
	03/14/18	Spring break
10	03/19/18	Dimensionality Reduction	IMLP p140-156, p163-168, APM p35-40
	03/21/18	Snow day!
11	03/26/18	Clustering and mixture models	IMLP p168-208	HW 4 posted
	03/28/18	Cluster evaluation	Clustering Stability, Sections 1 & 2
12	04/02/18	NMF and Outlier Detection	IMLP p140-168
	04/04/18	Working with text data	IMLP p323-336	HW 4 due, HW 5 posted
13	04/09/18	Topic models for text data	IMLP p347-355
	04/11/18	Word and document embeddings	Mikolov 2013a, Mikolov 2013b, gensim word2vec
14	04/16/18	Neural Networks	IMLP p104-109, DL Ch 6, Ch 7.8	HW 5 due, HW 6 posted
	04/18/18	Neural networks in practice	DL Ch 7.12, Ch 9, keras docs, Stanford CNN course notes, Module 2, Feature Visualization
15	04/23/18	Advanced Neural Networks
	04/25/18	Time series data		HW 6 due Extended to 05/3/18
16	04/30/18	Second Exam

IMLP: Mueller, Guido - Introduction to machine learning with python
APM: Kuhn, Johnson - Applied predictive modeling
DL: Goodfellow, Bengio, Courville - Deep Learning