INF554 - Machine and Deep Learning

Information:

The Data Science and Mining - Introduction to Machine Learning class will cover the following aspects:

• The Machine Learning Pipeline

• Data Preprocessing and Exploration

• Feature Selection/Engineering & Dimensionality reduction

• Supervised Learning 

• Unsupervised Learning

• Web Mining: recommendations, collaborative filtering, opinion/sentiment analysis, web advertising & algorithms.

• Learning from graphs: ranking in graphs, ranked lists comparison, learning to rank, community detection and graph clustering, applications

Recommended Readings:

(my picks)

Good book to review fundamentals: Mathematics for Machine Learning (Deisenroth et al.)

Focus on Linear Algebra: Linear Algebra and Learning from Data (Gilbert Strang)

The "bible" of Deep Learning: Deep Learning (Goodfellow et al.)

(page in construction)