Best Practices on Recommendation Systems

Lecture notes and example code for teaching C & C++

Material from the Big Data course at Chicago Booth

Optimization for Data Science Course

Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning, data engineering, team work, presentation, endurance of fr…

Reinforcement learning resources curated

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

Quantitative research and educational materials

Deploy & Monitor ML Models directly from R

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Portfolio and risk analytics in Python

Scalable Topic Modeling using Variational Inference in MapReduce

Uber trip data from a freedom of information request to NYC's Taxi & Limousine Commission

Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

Files for Modern Statistical Workflow workshop

Spark reference applications

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

C++ implementation of IRLS algorithm for generalized linear model

Class materials for a distributed systems lecture series

Some tutorial-type code to introduce map-reduce style of programming

Principled Functional Programming in Scala

Predicts league of legends play off games for the 2015 season

A C++ version of the R Package "SQUAREM"

Gaussian Mixture Model Implementation in Pyspark

Official content for the Fall 2014 Harvard CS109 Data Science course

Bayesian Macroeconometrics in R

Lectures on scientific computing with python, as IPython notebooks.