Machine Learning Tutorials

Machine Learning

  1. Dr Jason Browniee’s
    Machine Learning
    is for everybody, even total beginners, who’ve heard the
    hype about ML, and want to get in on the action. It’s step by step,
    simple and very easy to follow.
  2. Once one has done quite a few chapters into Machine Learning Mastery
    it’s good to check out ujjwalkarn’s Github list of
    Learning and Deep Learning Tutorials

Neural Networks

  1. If you’re totally new to neural networks, Andrej Karpathy’s
    Hacker’s Guide to Neural
    is hands down the best. No complex formulas, no jargon,
    just plain and simple concepts demonstrated with code (which you
    should definitely rewrite to fully understand).
  2. Genetic Algorithms
    for tuning the weights of an existing neural network: pretty cool,
    although this is just one way to train a neural network. I’d imagine
    one would use the gradients in Karpathy’s tutorial to get to a pretty
    well trained neural network, and then use the genetic algorithm to
    make small improvement tweaks from there.

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