Intro to Machine Learning
What is Machine Learning? 11min. Played at 1st meeting
Udacity ML Nano Degree ~ 420 hours
Udacity - Intro to Machine Learning (part of the nano degree): 10 weeks: 6 hrs/wk
Coursera Andrew NG ML: 11 weeks: ? hrs/wk
Coursera - University of Toronto: Neural Networks for Machine Learning 16 weeks: ? hrs/wk
EdX - Apache Spark : 3 courses: 10 weeks: 5-10 hrs/wk
Computerphile - YouTube channel with high level explanations of various subjects in computer science including machine learning
Links from H2O Dallas
H2O came to the Dallas/Plano area for an open tour conference on October 26. Here's the links for the slides and presentations:
- Sizzle reel from NYC.
- Schedule with slides and videos.
- Youtube Playlist
- GitHub Repo (Code Samples)
Kaggle was founded as a platform for predictive modeling and analytics competitions on which companies and researchers post their data and statisticians and data miners from all over the world compete to produce the best models. This crowdsourcing approach relies on the fact that there are countless strategies that can be applied to any predictive modeling task and it is impossible to know at the outset which technique or analyst will be most effective.
OpenAI Gym is a toolkit for developing and comparing reinforcement learning (RL) algorithms. It consists of a growing suite of environments (from simulated robots to Atari games), and a site for comparing and reproducing results.
MLIntroSpark is the Github Repository containing the code used in the demo on 09/30/2016. The code is commented. Contact Victor Kwak for more info.