Machine Learning for Beginners

Discussion in 'Machine Learning, Deep Learning, and AI' started by K D, May 9, 2018.

  1. K D

    K D Well-Known Member

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    I'm looking for some learning resources to get started on Machine Learning. Can anyone give some pointers?
     
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  2. mackle

    mackle Active Member

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    I started taking the ML course on Coursera. Enjoyed it but then life got too busy.
     
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  3. BackupProphet

    BackupProphet Well-Known Member

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    If you have coding skills, getting started with machine learning is not that difficult.

    Safari Online books has a nice video tutorial on deep learning with Python, Keras(Tensorflow)
    Deep Learning with TensorFlow: Applications of Deep Neural Networks to Machine Learning Tasks
    I think for many, that is a good start.

    Also be careful about what library you start with, Scikit-Learn for Python cover almost everything related to machine learning except the deep learning part. For Deep Learning, Keras is a good start for almost everyone. Tensorflow, Theano, PyTorch are for the experts.
     
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  4. tonydsouza

    tonydsouza New Member

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    #4
  5. vv111y

    vv111y Member

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    Good SubReddit. Great for asking questions and guides.
    Learn Machine Learning

    Their wiki has links to other guides, I haven't looked at them, but I have found sub-reddits suggestions are good
    index - learnmachinelearning

    Another subreddit
    Machine Learning Questions
    Machine Learning Questions

    Mathematical Monk.
    This digs into the math so you have a good understanding of the fundamentals. Done like Kahn Academy.
    Machine Learning Playlist - YouTube

    resource list:
    ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources
    ujjwalkarn/Machine-Learning-Tutorials

    EDIT:
    oh, and there is
    fast.ai · Making neural nets uncool again
    fast.ai · Making neural nets uncool again

    which I have heard is very popular and gets you up to speed quickly. They do group studies with live coding and online discussions. I plan to check it out sometime soon
     
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    Last edited: Nov 9, 2018
  6. MiniKnight

    MiniKnight Well-Known Member

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    My issue is going from guide and simple tutorial to actionable. Maybe it's more precise to say getting enough clean data and coming up with how to actually go from data to a model.

    That's what's missing in many videos. They'll show you how to do simple, but they're not showing the way to get practical. And I'd prefer to learn through directly solving problems rather than learning how to do text lstms after doing image recognition.
     
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  7. vv111y

    vv111y Member

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    Probably fast.ai would be what you want.

    You can also use .ipynb's on github for starting points. The code is right there, and some of these notebooks are not toy problems - well, I guess depends on what qualifies as toy. ie. CIFAR? CelebA?
    You can also just use the same code for bigger datasets, but then the issue is the hardware.
     
    #7
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