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Machine Learning (Stanford University)
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Any prerequisite to start this course?
Please tell us what's wrong with the comment. Thanks.
@kunal-vats Its explained in the introduction.
Great resource, professor explains things very well, and the assignments are relevant and challenging.
does this course have programing or only algo's?
@khushal-sharma This is from the course syllabus: "This course includes programming assignments designed to help you understand how to implement the learning algorithms in practice."
@khushal-sharma It does have programming, but in Octave/Matlab, which nobody really uses for machine learning.
This course is like to review and upgrade skills of algebra, matrix, vector, calculus, statistics, and MATLAB (like Python + numpy + pandas + matplotlib + Jupyter notebook). Understood the background of machine learning field, especially neural network, as a strong background for studying deep learning.
Machine Learning (ML) field have huge scope in multiple fields to help AI developers train the various types of models and provide an automated solution to different people around the world. Apart from promising sectors like @healthcare, @automotive, @retail and agriculture, ML provides a great opportunity to @machinelearning engineers utilize the bunch of data and train the machine predict in the same way.
Is it a self paced course?
@sahana-ks It's not a self paced course. You need to enroll in the course and then for the best output go with the flow of the course. However, once you've enrolled you will have access to all the materials forever so you can access those and revisit those at your pace.
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