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Machine Learning Course By University of Stanford on Coursera

If you want to learn Machine learning, consider looking at the course offered by University of Stanford on Coursera (View here). Instructor of the course is Andrew Ng, one of the  biggest names of online learning and the co-founder of Coursera.

This is probably one of the best Machine learning courses on the internet at the moment! The rating of the course 4.9/5 after 84,736 ratings, totally confirms that claim.

Machine learning course by university of Stanford coursera

More About Stanford University’s Machine Learning Course

This course by Stanford University and taught by Andrew Ng is 11 Weeks long. The course is in English language, subtitles of the same are available in: Chinese (Simplified), Hebrew, Spanish, Hindi, Japanese.

Here is the bifurcation of the content you going to 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

For more information, please look at this page..

Here are the stats of this course:

  • Over 100,000 Enrollments from the globe
  • Rating 4.9/5 after 84,000+ ratings
  • 113 videos
  • 80+ readings
  • Practice Quizzes

New videos, readings and other materials are added on ongoing basis as needed. Therefore, the course remains applicable to all the modern developments 🙂

Why you should take this ML course?

What makes this course a must have are the following points:

  • Taught by Andrew Ng, Co-founder of Coursera and former head of Baidu AI Group/Google Brain
  • Comes From one of the most reputed universities, Stanford University
  • You get a certificate of completion after finishing the course successfully, this certificate carries a lot of weight in your resume or LinkedIn profile
  • Well structured curriculum, even for those who are in regular jobs
  • Starts from scratch, you need no prior knowledge of Machine learning
  • Access on Mobile through Android and iOS apps

Apart from the above, there are so many other reason why you should pick coursera to learn machine learning, check them out over here..

Conclusion

This machine learning course by Stanford University is indeed the best for learners. Do go ahead and enroll today if you been looking for the top ML course. You can certainly count on the experience Andrew Ng brings to this course!

Note: Please do not go by what I have written in this post, please verify all the information yourself over here before enrolling!

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