davidrosenberg

mlcourse

Machine learning course materials.

ttml2021fall

DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)

ttml2021

Course materials for DSGA 3001: Tools and Techniques for Machine Learning (Spring 2021)

ml2018

DSGA-1003: Machine Learning and Computational Statistics, Spring 2018

ml2016

DS-GA 1003: Machine Learning and Computational Statistics, Spring 2016

ml2015

Website for DS-GA 1003: Machine Learning and Computational Statistics

ml2019

DS-GA 1003: Machine Learning Course Webpage

ml2017

Repo for DS-GA 1003: Machine Learning and Computational Statistics

davidrosenberg.github.io

My website

foml

Foundations of Machine Learning

config

calibration_paper

HadoopStreaming

R package for facilitating stream processing, e.g. for use with Hadoop streaming

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ml101

nn-data

nn-practice

Scratch pad for doing some coding

OpenNMT-py

Open Source Neural Machine Translation in PyTorch

SIGIR2016Demo

Code accompanying the SIGIR 2016 tutorial on counterfactual evaluation and learning methods for user-interactive systems.

statcourse