Learn Machine Learning On Coursera With Andrew NG

If you have been looking to learn machine learning, consider looking at this Coursera Specialzation today! The machine learning course I am talking about has over 2 million students and is currently the no.1 best selling machine learning course online.

The instructor of the course is Andrew Ng, the creator is Stanford University. Do check it out and start your machine learning journey right away.

The best part is, if you enroll today, you get free access to the course for next 30 days!

And, if you pay in advance to continue the course afterwards, you get 10% discount.

(Note: This course has been upgraded to a specialization, please see here)

Who is Andrew Ng?

  • Andrew Ng is the Co-founder of Coursera,
  • Adjunct Professor, Stanford University
  • Formerly head of Baidu AI Group/Google Brain

If the above doesn’t make him the perfect person to learn machine learning then who else would you trust! Therefore, consider taking the course today, do an assessment, and see if it serves your needs! I recommend the course very highly!

Note: All the specializations and courses are available for free access until 31st of October 2018. To view all the courses and Specializations – Go here

Andrew Ng's Machine learning course has over 2 million students now

About Andrew Ng’s Machine Learning Course

Andrew Ng’s machine learning course has a feedback score of 4.9/5 at the moment. The course is taught in English, subtitles for the same are available in Chinese (Simplified), Hebrew, Spanish, Hindi, Japanese.

Duration of the course is 11 weeks, here’s what you learn each week:

Week 1

  • Introduction
  • Linear Regression with One Variable
  • Linear Algebra Review

Week 2

  • Linear Regression with Multiple Variables
  • Octave/Matlab Tutorial

Week 3

  • Logistic Regression
  • Regularization

Week 4

  • Neural Networks: Representation

Week 5

  • Neural Networks: Learning

Week 6

  • Advice for Applying Machine Learning
  • Machine Learning System Design

Week 7

  • Support Vector Machines

Week 8

  • Unsupervised Learning
  • Dimensionality Reduction

Week 9

  • Anomaly Detection
  • Recommender Systems

Week 10

  • Large Scale Machine Learning

Week 11

  • Application Example: Photo OCR

To know about the videos and other content, please go ahead and visit the course page here.

More about Machine Learning courses on Coursera

Coursera has partnership with top universities and organizations around the world. Therefore, the website has various machine learning courses and specializations on the platform. You can check them out on coursera.

Go through coursera’s machine learning courses and specialization and decide the one you want to go ahead with. Remember, you have free access to any course or specialization for couple of weeks. Just go ahead and do whats needed and you will be good to go.


Andrew Ng’s Machine learning course is one of Coursera’s top rated and best selling courses. If you want to start learning machine learning, you won’t find a better a option. Consider taking the course today and do your own assessment.

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