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I think intro to machine learning https://www.udacity.com/courses/ud120 https://www.udacity.com/courses/ud120 is the prerequisite to this course

jokoon 11y ago
I was just beginning to give it a try, it just requires you to type the code that is shown on video. Poor way of teaching something, it seems at first. I sense this course is just to teach me the tools of the trade, not really enabling students to fully understand what they're doing. On the other hand, some months ago I watched the ML course by Andrew Ng, and I still did not understand how to test a simple linear regression for myself, so I did not really understand it, and stopped watching the course.
- rahimnathwani 11y ago
  You might like the book 'data science from scratch' by Joel Grus. He uses Python without ML libraries and explains clearly what's going on.
  - j_s 11y ago
    http://amzn.com/B00W4DTP2A http://amzn.com/B00W4DTP2A
- wrsh07 11y ago
  From the yc reading list 2015 [http://themacro.com/articles/2015/12/yc-2015-reading-list/ http://themacro.com/articles/2015/12/yc-2015-reading-list/], they recommend [for Neural Networks] this book: http://neuralnetworksanddeeplearning.com/ http://neuralnetworksanddeeplearning.com/ It's more about understanding than "learning tools."
  - pconner 11y ago
    NN&DL is great for neural nets specifically, it doesn't really cover other branches of ML. That being said, I found it very easy to understand with no prior ML knowledge, all you need is some calculus and linear algebra experience.
  - datawrangler 11y ago
    I really liked the NN&DL course. Another I've been meaning to check out is this book: http://www.deeplearningbook.org http://www.deeplearningbook.org
  - thecrazyone 11y ago
    Could you share a link to the YC reading list 2015 . I'm surprised no one asked.
  - pjscott 11y ago
    That's an exceptionally clear, well-written book, and I recommend it without reservation. And it's free online, so anybody who's curious can just check it out.

jokoon 11y ago

I was just beginning to give it a try, it just requires you to type the code that is shown on video. Poor way of teaching something, it seems at first. I sense this course is just to teach me the tools of the trade, not really enabling students to fully understand what they're doing. On the other hand, some months ago I watched the ML course by Andrew Ng, and I still did not understand how to test a simple linear regression for myself, so I did not really understand it, and stopped watching the course.

rahimnathwani 11y ago
You might like the book 'data science from scratch' by Joel Grus. He uses Python without ML libraries and explains clearly what's going on.
- j_s 11y ago
  http://amzn.com/B00W4DTP2A http://amzn.com/B00W4DTP2A
wrsh07 11y ago
From the yc reading list 2015 [http://themacro.com/articles/2015/12/yc-2015-reading-list/ http://themacro.com/articles/2015/12/yc-2015-reading-list/], they recommend [for Neural Networks] this book: http://neuralnetworksanddeeplearning.com/ http://neuralnetworksanddeeplearning.com/ It's more about understanding than "learning tools."
- pconner 11y ago
  NN&DL is great for neural nets specifically, it doesn't really cover other branches of ML. That being said, I found it very easy to understand with no prior ML knowledge, all you need is some calculus and linear algebra experience.
- datawrangler 11y ago
  I really liked the NN&DL course. Another I've been meaning to check out is this book: http://www.deeplearningbook.org http://www.deeplearningbook.org
- thecrazyone 11y ago
  Could you share a link to the YC reading list 2015 . I'm surprised no one asked.
- pjscott 11y ago
  That's an exceptionally clear, well-written book, and I recommend it without reservation. And it's free online, so anybody who's curious can just check it out.