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Stanford Machine Learning

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Machine Learning course by Andrew NG on Coursera is one of the best course to start learning Machine Learning. It covers enough theory to clear your basic concepts.

10 weeks long basic course on Machine Learning, good for beginners. People who  know linear algebra and probability might find this one a bit slower paced, as it goes through several details of calculations.

Specification: Stanford Machine Learning





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Free Trial (in days)


Duration (in months)

What will you learn?

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Suggested hours/week

Programming Language Used





1. Introduction to Machine Learning.
2. Linear Regression with One Variable.
3. Linear Algebra Review.
4. Linear Regression with Multiple Variables.
5. Octave/Matlab Tutorial
6. Logistic Regression.
7. Regularization.
8. Neural Networks: Representation.
9. Neural Networks: Learning.
10. Advice for Applying Machine Learning.
11. Machine Learning System Design.
12. Support Vector Machines.
13. Unsupervised Learning.
14. Dimensionality Reduction.
15. Anomaly Detection.
16. Recommender Systems.
17. Large Scale Machine Learning.
18. Application Example: Photo OCR.

Upon completion

University credits

Graded quizzes & assignments

Capstone Project



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5 reviews for Stanford Machine Learning

4.6 out of 5
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  1. Ayan bhunia

    After 3 months of rigorous study(post office work) and working on long complex programming assignments , I have successfully completed Andrew Ng’s Machine Learning course offered by Stanford University. Thank you Andrew Ng , Coursera and Stanford for democratising education and for offering this wonderful course. I have throughly enjoyed the journey of learning and applying “machine learning” and hope to explore advanced topics of machine learning in coming days!

    Key learnings:
    -Octave programming
    -Supervised : Gradient descent , Logistic classifier , Neural network
    -Unsupervised : PCA , K-mean , Clustering
    -Machine learning pipeline
    -Controlling Bias and Variance…………….
    #AIML #machinelearning

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  2. Sheen Stanley

    Lockdown blues#
    Next on plan is Machine learning & Data sciences from Stanford online

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  3. Sarthak Sahu

    When you have a lot to do then Quarantine is not that difficult, just spend your time doing the right things.

    I’ve just completed my course on Machine Learning from Coursera and looking forward to enhance my Skills.
    #datascience #machine_learning #completed #course #more_to_come #quarantinelife

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  4. Aditya Mahajan

    Completed the Machine Learning Course by Stanford University, offered on Coursera! The course covers a wide range of ML concepts and deals with the underlying math and algorithms used in Machine Learning. It also covers Neural Network fundamentals and teaches you how to apply these concepts in real life! I would recommend this course to everyone wanting to build a strong foundation in Machine Learning.

    #machinelearning #datascience #ai

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  5. Urvish thakkar

    Happy to share that finally I complete the Machine Learning Course on Coursera taught by Andrew Ng, it was definitely a great learning experience and would led to my holistic development. Looking forward to apply the knowledge I have gained in times to come by doing some project or so. Thankful to the people who motivated me to do the course. #andrewng #coursera #machinelearning #datascience #learning #course #machinelearningalgorithms #hustlehard

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    Expert Score 9.5
    Course Content
    Learning Experience
    Course Price
    • Taught by Andrew Ng. Andrew's mathematical explanation behind every concept is a great plus point.
    • The concepts are all very clearly explained.
    • This course covered the basics, well crafted and a phenomenal starter course for machine learning.
    • Octave/MATLAB is used to do these assignments and not Python. Some people think feel useless to do hands-on in MATLAB / OCTAVE. They prefer to do hands-on in python instead.
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