Distributed Statistical Computing for Big Data (2018 Fall)

Prerequisite

Basic knowledge in statistics
Basic knowledge in computing

Literature

Selected books in distributed computing and big data
Lecture notes
Basic Hadoop/Spark Tutorial for Statisticians

Lecture notes

L1: Introduction to Hadoop
L2: Understanding MapReduce
L3: Statistical Modeling with Hadoop MapReduce
L4: Programming Hive
L5: Introduction to Spark
L6: Spark and Machine Learning
L7: Statistical Learning with Mahout

Invited Session: MCM 2019 February 10, 2019

I am delighted to serve on the Program Committee of the Twelfth International Conference on Monte Carlo Methods and Application (MCM 2019), to be held in Sydney, Australia, from July 8 to 12, 2019. I am organizing a special thematic session (of either 3 or 4 talks of 30 minutes each) in Monte Carlo with […]

Webinar: Introduction to Web Scraping December 27, 2018

I have made a short video for a very brief introduction to web scraping. You are welcome to watch it online here.

Workshop: Distributed Statistical Computing for Big Data December 15, 2018

I am giving a workshop in Guanghua School of Management at Peking University. Time: 14:00-17:00 on Nov 31, Dec 7, 14, 21 Venue: Guanghua Building #1, Room 114 Checkout this link for more details.