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oxford-cs-deepnlp-2017

Oxford cs deepnlp 2017 has 5 repositories available follow their code on git hub

CS20si

Machine Learning 4771

CS109 Data Science

Learning From Data - Online Course (MOOC)

CS 189

Stanford University CS224d: Deep Learning for Natural Language Processing

Algorithms for Big Data (CS 229r)

Stanford University CS231n: Convolutional Neural Networks for Visual Recognition

CS287 Fall 2013

CS 395T

CS4780 Machine Learning Course, T. Joachims, Cornell University

Machine Learning for Data Sciences (CS 4786) Course Webpage

CVX 101

deeplearning2015:schedule | CILVR Lab @ NYU

Big Data Analytics

Deep Learning for CV and NLP

This graduate level research class focuses on deep learning techniques for vision and natural language processing problems. It gives an overview of the various deep learning models and techniques, and surveys recent advances in the related fields. This course uses Theano as the main programming tool. GPU programming experiences are preferred although not required. Frequent paper presentations and a heavy programming workload are

Readings

Deep Learning for CV and NLP

Deep Learning for CV and NLP

ENGR108: Introduction to Matrix Methods

Fast.ai Introduction to Machine Learning for Coders

Info 290. Analyzing Big Data with Twitter

Specific topics hours and credit may vary from section to section year to year may be repeated for credit with change in content

Machine Learning

Department of computer science 2014 2015 ml machine learning

StatLearning

Machine Learning 10-601 Spring 2015

10708 Probabilistic Graphical Models

11-785

CS 276: Information Retrieval and Web Search

GitHub - yandexdataschool/Practical_RL: A course in reinforcement learning in the wild

A course in reinforcement learning in the wild contribute to yandexdataschool practical rl development by creating an account on git hub

UvA Deep Learning Course