Fast.ai Introduction to Machine Learning for Coders
Loading Stats
Last Updated: 4 May 2025
Loading Readme
32 Projects and apps Similar to "Fast.ai Introduction to Machine Learning for Coders " in May 2025
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
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
CS246 | Home
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
Subscribe to our Newsletter
Subscribe to get resources directly to your inbox. You won't receive any spam! ✌️