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What is a simple beginner path to Machine Learning?

I'm looking for a way to learn how to program ML and Neural Networks, but my high school lacks a class or any instruction.

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Alex’s Answer

I think the best thing to do at first is to narrow down your interests. For instance, it's a lot easier to learn about NLP as it relates to the media industry than it is to learn about NLP as a whole (because it is such a broad topic).

Once you've identified one or more areas of interest, it should be easier to look for NLP applications in that space, and thus make it less overwhelming regarding where to begin.
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Hang’s Answer

Hi Thomas,
-Check out the Machine Learning by Andrew Ng on Coursera
-Learn Statistics & Calculus, these will give you a solid foundation to start off a successful Machine Learning career
-Check out the "Hands-on Machine Learning "
-Learn a programming language of your choice - I would recommend Python and C++, then get to know some libraries like Pytorch, Sckitt-learn, NumPy, Pandas
-Practice coding with Hackerrank or Leetcode
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Kam’s Answer

Coursera has a great course on Machine Learning, taught by some of the best in the industry. There is a good mix of videos and reading material to make it engaging. See details here: https://www.coursera.org/learn/machine-learning#


If you're looking for a free option, Udacity has one available as well: https://www.udacity.com/course/intro-to-machine-learning--ud120


Both great ways to get started with Machine Learning.

Kam recommends the following next steps:

Enroll for Coursera course: https://www.coursera.org/learn/machine-learning#
Enroll for Udacity course: https://www.udacity.com/course/intro-to-machine-learning--ud120
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D S’s Answer

Please search for beginners course in Coursera or Udemy
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James’s Answer

See my steps below. Remember that once you have gone over those, you have a pretty good basic idea. Keep in mind Machine Learning is a lot of math, a lot of understanding complex computer science concepts, and really having a solid idea of what machine learning is good for and what's it's not.

James recommends the following next steps:

I would start with https://www.kaggle.com/kanncaa1/machine-learning-tutorial-for-beginners . This is a good way to get started with a ton of stuff. Kaggle is pretty useful, but you're going to have to know how to code.
https://developers.google.com/machine-learning/crash-course/?gclid=EAIaIQobChMI38WNsf-j2gIV1LfACh3Wlgi9EAAYASAAEgIyfPD_BwE . I mean it's google, what's not to love. This is a fairly difficult course, so it's not really an intro.
MIT Open Courseware is awesome https://www.youtube.com/watch?v=h0e2HAPTGF4
Thank you comment icon Tensor Flow website is also an excellent place for in-depth knowledge Steven Lucas
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