Hello everyone,
I am looking for a good recommendation for a Machine learning course (with available materials). Which one do you suggest? Something that would be up to date with available materials for instructors. A book with available materials for instructors would also be great!
Thanks,
I was going down this same path a while back. There are a lot of people that use different paths to build up their ML background, but I found Andrew Ng's "Machine Learning" course on Coursera to be a really good overview. I then started on the "Deep Learning and Neural Networks" Coursera certificate, which includes 5 courses that range fill in the blanks for neural network architectures by introducing the different concepts of Convolutional Neural Nets, Sequence Models (Recurrent NN, LSTMs, Attention Models, etc). Where they hit a home run with these courses is that the first ML one supplements the course with MATLAB/OCTAVE, which virtually everyone knows (if not, there is a tutorial or two that can get people up to speed), and then they introduce everyone to Tensorflow in the second set of courses. Really recommend. Won't break the bank, either - I finished all of these in a month.
Another good one - look at the Alex Amini lectures from MIT's bootcamp. Very good and they have some good speakers, too. Rich Turner, Imperial College, has a good Youtube bootcamp to Gaussian Process Models. Just lots of great content out there online.
Also, Springer has a lot of free Machine Learning, Statistical Learning, Data Science books that have similar overview of content, if you are just looking for ideas on how to set up & cover different topics.
I think Stanford Professor andrew Ng lecture on machine leaning is very good.
https://www.coursera.org/learn/machine-learning
You can download also the book by registering to
https://www.deeplearning.ai/machine-learning-yearning/
Hello Iman,
Two excellent places to study machine learning courses is Coursera and Edx. You will find up to date materials and topics delivered by experts.
Particularly, you may want to check lectures from Prof. Andrew Ng; Stanford Machine Learning genius and boss
A useful link to one of his lectures can be found here: https://www.coursera.org/learn/machine-learning
Open Machine Learning Course https://mlcourse.ai/
materials https://github.com/Yorko/mlcourse.ai
https://digitaldefynd.com/best-machine-learning-and-deep-learning-courses/
https://www.learndatasci.com/best-machine-learning-courses/
https://www.coursera.org/learn/machine-learning
https://drive.google.com/drive/folders/13E1H_NKSbCwNlmDqHNCrwSEy-oP5dpiv
Dear;
You can read it in the following link:
https://www.learndatasci.com/best-machine-learning-courses/
Regards
Dear;
You can read it in the following link:
https://drive.google.com/drive/folders/13E1H_NKSbCwNlmDqHNCrwSEy-oP5dpiv
Regards
Hi Iman (Abdollah) Dehzangi
check out this course
https://cedar.buffalo.edu/~srihari/CSE574/
I was going down this same path a while back. There are a lot of people that use different paths to build up their ML background, but I found Andrew Ng's "Machine Learning" course on Coursera to be a really good overview. I then started on the "Deep Learning and Neural Networks" Coursera certificate, which includes 5 courses that range fill in the blanks for neural network architectures by introducing the different concepts of Convolutional Neural Nets, Sequence Models (Recurrent NN, LSTMs, Attention Models, etc). Where they hit a home run with these courses is that the first ML one supplements the course with MATLAB/OCTAVE, which virtually everyone knows (if not, there is a tutorial or two that can get people up to speed), and then they introduce everyone to Tensorflow in the second set of courses. Really recommend. Won't break the bank, either - I finished all of these in a month.
Another good one - look at the Alex Amini lectures from MIT's bootcamp. Very good and they have some good speakers, too. Rich Turner, Imperial College, has a good Youtube bootcamp to Gaussian Process Models. Just lots of great content out there online.
Also, Springer has a lot of free Machine Learning, Statistical Learning, Data Science books that have similar overview of content, if you are just looking for ideas on how to set up & cover different topics.
Iman (Abdollah) Dehzangi you should look into the link below.
https://www.coursera.org/specializations/machine-learning-for-everyone
Please check Stanford's CS229 course which is taught by Andrew Sir.
http://cs229.stanford.edu/
Thanks.
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