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Dreams in the CodingTrain

Machine-Learning

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

Resource attributes

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
  • :bowtie: = beginner
  • πŸ˜… = intermediate, some pre-requisites
  • :godmode: = advanced, many pre-requisites

Table of Contents

Articles & Posts

  1. A Return to Machine Learning 🌈 :bowtie:
  2. A Visual Introduction to Machine Learning 🌈 :bowtie:
  3. Machine Learning is Fun! :bowtie:
  4. Deep Reinforcement Learning: Pong from Pixels 🌈
  5. Inside Libratus, the Poker AI That Out-Bluffed the Best Humans :bowtie:
  6. Machine Learning in Javascript: Introduction :bowtie:
  7. Realtime control of sequence generation with character based Long Short Term Memory Recurrent Neural Networks πŸ˜…
  8. Why is machine learning 'hard'? :bowtie:
  9. Unreasonable effectiveness of RNNs πŸ˜…
  10. colah's blog
  11. β€ͺMachine Learning Website with many Tutorial of Machine Learningβ€ͺ ‬:rainbow:
  12. Beginners tutorial for decision tree implementation 🌈β€ͺ
  13. Machine Learning Beginner tutorial Supervised and Unsupervised Learning 🌈β€ͺ
  14. Q-Learning Tutorial πŸ˜…
  15. Big O notation Free Code Camp :bowtie:
  16. Ray Wenderlich Big O notation :bowtie:
  17. Interview Cake Big O notation :bowtie:
  18. Youtube Video Big O notation Derek Banas :bowtie:
  19. Youtube Video for Big O notation HackerRank :bowtie:
  20. Random Forest in Python πŸ˜…
  21. CreativeAI - On the Democratisation & Escalation of Creativity 🌈 :bowtie:
  22. Reducing the Dimensionality of Data with Neural Networks
  23. Learning Deep Architectures for AI
  24. Let’s code a Neural Network from scratchβ€Š(Processing) πŸ˜…
  25. Distill - Demystifying Machine Learning Research
  26. Machine Learning in Javascript πŸ˜…
  27. A.I. Experiments from google
  28. Rohan & Lenny #3: Recurrent Neural Networks & LSTMs πŸ˜…
  29. Backpropogating an LSTM: A Numerical Example πŸ˜…
  30. Naive Bayes for Dummies; A Simple Explanation :bowtie:
  31. Machine Learning Crash Course @ Berkeley :bowtie: :godmode:
  32. How to approach almost any ML problem? πŸ˜…
  33. Technical Notes on ML & AI by Chris Albon :bowtie: πŸ˜…
  34. Naive Bayes and Text Classification πŸ˜…
  35. First Contact With TensorFlow πŸ˜…

Books

  1. Machine Learning for Designers by Patrick Hebron, Accompanying Webcast: Machine learning and the future of design
  2. Machine Learning Book 🌈
  3. A first encounter with machine learning :bowtie:
  4. Natural Language Processing with Python πŸ˜… :bowtie:
  5. A Brief Introduction to Neural Networks πŸ˜…

Courses

  1. Machine Learning Crash Course By Google :bowtie:
  2. Coursera - Machine Learning with TensorFlow on GCP πŸ˜…
  3. The Neural Aesthetic @ SchoolOfMa, Summer 2016 🌈 :bowtie:
  4. Machine Learning for Musicians and Artists, Kadenze[Scheduled course] 🌈 :bowtie:
  5. Creative Applications of Deep Learning with TensorFlow, Kadenze[Whole Program] 🌈 πŸ˜…
  6. Coursera - Machine Learning :bowtie:
  7. Coursera - Neural Networks πŸ˜…
  8. Practical Deep Learning for Coders :bowtie:
  9. β€ͺCourse in Machine Learning
  10. β€ͺStanford Course Machine Learning
  11. Udacity - Machine Learning Engineer[Whole Program] πŸ˜…
  12. DeepMind - Reinforcement Learning lectures by David Silver

Examples

  1. A Deep Q Reinforcement Learning Demo :bowtie:
  2. How to use Q Learning in Video Games Easily 🌈 :bowtie:
  3. K-nearest :bowtie:
  4. The Infinite Drum Machine 🌈 :bowtie:
  5. Visualizing various ML algorithms 🌈 :bowtie:
  6. Image-to-Image - from lines to cats 🌈
  7. Recurrent Neural Network Tutorial for Artists 🌈
  8. Browser Self-Driving Car,Learning to Drive Blog Post
  9. The Neural Network Zoo (cheat sheet of nn architectures)
  10. Slice of Machine Learning

Projects

  1. Bidirectional LSTM for IMDB sentiment classification πŸ˜…
  2. Land Lines
  3. nnvis - Topological Visualisation of a Convolutional Neural Network 🌈 :bowtie:
  4. char-rnn A character level language model (a fancy text generator) 🌈 πŸ˜…
  5. Machine Learning Projects

Videos

Resources

  1. Awesome Machine Learning
  2. β€ͺQA StackOverflow Machine Learning Algorithms
  3. β€ͺFree dataset for projects
  4. Facial Recognition Database
  5. iOS application- Read top articles for your professional skills with @mybridge - Here you can find new articles every day for Data Science and Machine Learning among other things
  6. Machine Learning Resources
  7. Isochrones using the Google Maps Distance Matrix API
  8. Index of Best AI/Machine Learning Resources

Newsletter

  1. Data Science
  2. Data Elixir
  3. Artificial Intelligence Weekly
  4. Data Aspirant

Tools

  1. ConvNetJS - Javascript library for training Deep Learning models (Neural Networks) πŸ˜…
  2. RecurrentJS - Deep Recurrent Neural Networks and LSTMs in Javascript πŸ˜…
  3. AIXIjs - JavaScript demo for running General Reinforcement Learning (RL) agents πŸ˜…
  4. WORD2VEC πŸ˜…
  5. Neuro.js
  6. β€ͺGoogle Chrome ExtensiΓ³n to download all Image of the Google Search :bowtie: 🌈 1 Scikit-Learn

TensorFlow

  1. Projector πŸ˜…
  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

Tensorflow posts

  1. Big deep learning news: Google Tensorflow chooses Keras
  2. Simple end-to-end TensorFlow examples
  3. TensorFlow website Getting Started:bowtie:

t-SNE

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

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