Big Data Analytics

CSE545 - Fall 2017
Tuesdays and Thursdays, 4:00 - 5:20
Location: (Old) CS 2120

THESE SLIDES ARE FROM A PREVIOUS VERSION OF THE COURSE.

current slides are here.
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.

• Topic 1: What is Big Data?
• Topic 2: MapReduce
• Topic 3: Spark   sparkDemo_py.py
• Topic 4: Streaming Algorithms
• Topic 5: Similarity Search and Link Analysis
• Topic 6: Linear Models: Comparing Variables
• Topic 7: Clustering and Dimensionality Reduction
• Topic 8: Recommendation Systems
• Topic 9: Distributed TensorFlow   tf_demo.py
• Supplement: Longitudinal Analysis

Slides from the last offering of the class may be found here (warning: some content may be outdated).