This depends upon you first telling us at what level you are? beg, int, ad.
Ask HN: Best online courses for machine learning?
11–20 of 23 posts
Re: Ask HN: Best online courses for machine learning?
#12Facebook field guide to machine learning: https://research.fb.com/the-facebook-field-guide-to-machine-...
Training on Machine Learning with AWS: https://aws.amazon.com/training/learning-paths/machine-learn...
Re: Ask HN: Best online courses for machine learning?
#13The pre-requisite linear algebra for these subjects can be learned through Gilbert Strang's MIT course. A basic grounding in statistics and probability theory, along with calculus will also help.
Re: Ask HN: Best online courses for machine learning?
#14Look elsewhere if all you want is to learn tools and start practical projects ASAP without really understanding what you are doing. Tools come and go and will serve you for a while, concepts are timeless and will serve you for life. You need both, of course, but I wouldn't skip the theory, specially when such an amazing course is on tap.
Re: Ask HN: Best online courses for machine learning?
#15Contrary to popular opinion, I find that Andrew Ng's Intro to ML (on Coursera/Stanford) focuses too much on basic math and theory - which doesn't detract from the course's quality, but makes the course a drudgery to go through. Programming exercises involve a single line or two, and that too in Octave - which was all the rage back when the course was launched, but it's not so useful now. Instead, start with this - ht…
Re: Ask HN: Best online courses for machine learning?
#16PROS
- It has a good balance between theory and practice.
- There are lectures covering the theory and practice.
- There are practical assignments you need to code with Python.
- It includes in-class Kaggle competitions.
- It includes a rating system so you can compare your progress with other students.
CONS
- It has some prerequisites. You need to know Python(at a basic level) and some basic knowledge of math(calculus, linear algebra, etc).
- It is a difficult course. You will need between 5 to 10 hours each week for assignments. Each week is usually harder than the previous one.
You can find more details in this post: https://www.kaggle.com/general/77771
Re: Ask HN: Best online courses for machine learning?
#17Google ML crash course: https://developers.google.com/machine-learning/crash-course/ Facebook field guide to machine learning: https://research.fb.com/the-facebook-field-guide-to-machine-... Training on Machine Learning with AWS: https://aws.amazon.com/training/learning-paths/machine-learn...
Re: Ask HN: Best online courses for machine learning?
#18Re: Ask HN: Best online courses for machine learning?
#19Contrary to popular opinion, I find that Andrew Ng's Intro to ML (on Coursera/Stanford) focuses too much on basic math and theory - which doesn't detract from the course's quality, but makes the course a drudgery to go through. Programming exercises involve a single line or two, and that too in Octave - which was all the rage back when the course was launched, but it's not so useful now. Instead, start with this - ht…
Re: Ask HN: Best online courses for machine learning?
#20To learn a solid theoretical foundation: Caltech's "Learning from data" [1]. It is one of those rare courses where the professor is so good that he manages to make tricky concepts seem almost trivial (like Paar's "Understanding cryptography"). Look elsewhere if all you want is to learn tools and start practical projects ASAP without really understanding what you are doing. Tools come and go and will serve you for a w…