Examples and experiments around ML for upcoming Coding Train videos and ITP course.

Since resources across the internet vary in terms of their pre-requisites and general accessibility, it is useful to give attributes to them so that it is easy to understand where a resource fits into the wider machine learning scope. Below is a few suggested attributes (please extend):

• 🌈 = creative
• = beginner
• 😅 = intermediate, some pre-requisites
• = advanced, many pre-requisites

• Articles & Posts
• Courses
• Examples
• Projects
• Videos
• Resources
• Tools
  • Tensorflow
  • t-SNE

1. A Return to Machine Learning 🌈
2. A Visual Introduction to Machine Learning 🌈
3. Machine Learning is Fun!
4. Deep Reinforcement Learning: Pong from Pixels 🌈
5. [Inside Libratus, the Poker AI That Out-Bluffed the Best Humans](https://www.wired.com/2017/02/libratus/? imm_mid=0ed017&cmp=em-data-na-na-newsltr_ai_20170206)
6. Machine Learning in Javascript: Introduction
7. Realtime control of sequence generation with character based Long Short Term Memory Recurrent Neural Networks 😅
8. Why is machine learning 'hard'?
9. Unreasonable effectiveness of RNNs 😅

1. The Neural Aesthetic @ SchoolOfMa, Summer 2016 🌈
2. Machine Learning for Musicians and Artists, Kadenze[Scheduled course] 🌈  1. Creative Applications of Deep Learning with TensorFlow, Kadenze[Whole Program] 🌈 😅
3. Coursera - Machine Learning
4. Coursera - Neural Networks 😅

1. A Deep Q Reinforcement Learning Demo
2. How to use Q Learning in Video Games Easily 🌈
3. K-nearest
4. The Infinite Drum Machine 🌈
5. Visualizing various ML algorithms 🌈

1. Bidirectional LSTM for IMDB sentiment classification 😅
2. Land Lines
3. nnvis - Topological Visualisation of a Convolutional Neural Network 🌈
4. char-rnn A character level language model (a fancy text generator) 🌈 😅

• Reinforcement Learning
  1. Artificial Intelligence in Google's Dinosaur (English Sub)
  2. How to use Q Learning in Video Games Easily
• Evolutionary Algorithms
  1. Evolving Swimming Soft-Bodied Creatures 🌈
  2. Harnessing evolutionary creativity: evolving soft-bodied animats in simulated physical environments 🌈
  3. Reproduce image with genetic algorithm

1. Awesome Machine Learning

1. ConvNetJS - Javascript library for training Deep Learning models (Neural Networks) 😅
2. RecurrentJS - Deep Recurrent Neural Networks and LSTMs in Javascript 😅
3. WORD2VEC 😅

1. Projector 😅
2. Magenta 🌈
3. TensorFlow and Flask, Thanks to @Hebali basic pipeline, minus TensorFlow plus a very basic placeholder function
4. Awesome Tensorflow - curated list of TensorFlow tutorials

1. Big deep learning news: Google Tensorflow chooses Keras
2. Simple end-to-end TensorFlow examples

1. t-SNE 😅
2. t-SNE 😅
3. An illustrated introduction to the t-SNE algorithm
4. Visualizing Data Using t-SNE 🌈