Big Data Analytics

CSE545 - Fall 2016
Tuesdays and Thursdays, 4:00 - 5:20
Location: Frey Hall 201

Slides are intended as a visual aid for the lecture given in class. They are not a comprehensive set of class notes or a replacement for the readings.

THESE SLIDES ARE FROM A PREVIOUS VERSION OF THE COURSE.

current slides are here.

• Topic 1: What is Big Data?
• Topic 2: Map Reduce
• Topic 3: Similarity Search; Word Embeddings
• Topic 4: Streaming Algorithms; Incremental Processing
• Topic 5: Spark
• Topic 6: Statistical Preliminaries
• Topic 7: Link Analysis
• Topic 8: Clustering and Dimensionality Reduction
• Topic 9: Frequent Itemsets
• Spark: Financial Risk Estimation
• Topic 11: Recommendation Systems
• Topic 12: Social Media Text Analysis