Machine Learning (Stanford University) (

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Top Three Medal #1 out of total 134 Machine Learning Tutorials and Courses 12.6k+ views


Viktor Yanush
1430 points


Andrew Ng
1050 points

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Kunal Vats
Kunal Vats 16 points
3 years ago

Any prerequisite to start this course?

Ashwin Jayaprakash
Ashwin Jayaprakash 16 Points

@kunal-vats Its explained in the introduction.

Doydle Llama
Doydle Llama 18 points
4 years ago

Great resource, professor explains things very well, and the assignments are relevant and challenging.

Khushal Sharma
Khushal Sharma 10 points
4 years ago

does this course have programing or only algo's?

Saurabh Hooda
Saurabh Hooda 88395 Points

@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."

Robert Martin
Robert Martin 48 Points

@khushal-sharma It does have programming, but in Octave/Matlab, which nobody really uses for machine learning.

Bingli224 10 points
2 months ago

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.

Rayan Potter
Rayan Potter 12 points
11 months ago

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.

Senthil Nathan
Senthil Nathan 10 points
1 year ago


Sahana Ks
Sahana Ks 12 points
2 years ago

Is it a self paced course?

Saurabh Hooda
Saurabh Hooda 88395 Points

@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.