Transcript
Chapter 1: Getting Started
Chapter 2: Preprocessing the Data
Chapter 3: Getting to Grips with Visualization
Chapter 4: Text Classification
Chapter 5: Similarity-Based Image Retrieval
Chapter 6: Simulation of Stock Prices
Chapter 7: Predicting Gold Prices
Chapter 8: Working with Support Vector Machines
Chapter 9: Modeling Infectious Diseases with Cellular Automata
nm
Chapter 10: Working with Social Graphs
Chapter 11: Working with Twitter Data
Chapter 12: Data Processing and Aggregation with MongoDB
Chapter 13: Working with MapReduce
Chapter 14: On-line Data Analysis with Jupyter and Wakari
Chapter 15: Understanding Data Processing using Apache Spark
