Unlike other courses I have taken, Andrew explained very clearly the underlining math and motivation of basic models like Linear/Polynomial Regression and Logistic Regression. He also explained the regularization very well.

This course serves as a very good start for people who want to study machine learning. It is easy to understand, and all the assignments and labs a very helpful in both learning the basics of regression and thost of python

Excellent course for candidates who wish to start their journey in the field of data science and machine learning. And Andrew NG sir hates off to you. Thank you for preparing such a wonderful course amid your busy schedule.

Thank you to Andrew Ng and Stanford University for this amazing course. Despite being in 8th grade, I found the explanations clear and engaging. This course pushed me to learn advanced math, and I'm very grateful for that.

An invaluable resource to take a first step into ML and AI. It would be very beneficial to have prior knowledge about AI and ML to be able to fully understand and grasp the logic and knowledge behind videos and exercises.

Started with Zero prior knowledge about ML and with Basics of python & libraries like numpy , pandas, Matplotlib . I find the way course is structured to be astonishingly beginner friendly. Starting my ML Journey from here

One of the best introductory courses for machine learning that i could have enrolled in. Andrew Ng is no talented like he made machine learning and the maths related to it so easy that i did not have to memorise anything.

Curso muito bom! Como sugestão só teria que ter tido mais aplicabilidade em diferentes áreas como naturezas, ciências humanas e etc. Acredito que isso pode motivar pessoas de diferentes áreas a se motivar com esse mundo

I wanted to get a good understanding about what AI and Machine Learning is, this course provides the foundations and the mathematical understanding for machine learning algorithms and using data sets to make predictions.

It was an exceptional course. Everything was up to date, and if I were to talk about the theories and the slides, presentation and especially Mr.Andrew Ng, it was remarkably excellent. I cannot thank him enough for this.

This course was really interesting and curated with an introduction on basic ML concepts using simpler math and various interactive and insighful visualizations, followed by optimizing the computations using programming.

Andrew ng is definitely one of the best teachers of machine learning and data science. I would suggest anyone who is watching the lecture series to also read ISLR along with the lectures. It would immensely benefit you.

Awesome course taught by one of the greatest teachers. We are expected to get the intution of core ideas rather than worry about the coding aspect of ML which usually overwhelms the beginners with no coding experience.

Professor Ng does a terrific job of explaining complex topics. I took other classes and had difficultying grasping everything, however this course puts it all together in a easy-to-understand format. Excellent course.

This course is truly phenomenal. The way instructor taught the course and approach the new concept and explain the intuition is great. Optional labs plays a pivotal role in making this course best in the market. Thanks

Prof Andrew Ng explain complicate math concepts so well that I would be confident that my son, a senior in high school, would understand. Thank you so much for opening the ML world to me, my son and many more students.

Such a great way to kick off your journey in Machine Learning. Everything was explained so smoothly and didn't feel difficult at any point at all. All the assignments were top notch and so was the teaching from Andrew.

This is an excellent beginner level course and teaches the fundementals o Supervised Machine Learning. I highly recommend this course to anyone who likes to build a good foundational knowledge of Data Sciences and ML.

As I think it has given me basic idea and foundation for me to continue the learning of Machine learning. Optional labs are the best part that I love in this course. Teaching skills of Prof. Andrew NG also marvelous.

I really appreciate such quality content provided in this course. I am extremely grateful to Course Instructor Andrew NG as well as the many people involved in providing such quality education and of course Coursera.

Everything was explained so simply! I think this is better for sake of the majority even though I sometimes got bored of repetitive explanations as a mechanical engineering graduate. Highly recommending this course!

This course provides essential basic knowledge about regression and classification. It is a very good choice to start learning ML. Encouraged to carefully read and try to understand each function in the lab options.

It is very nice course for Machine Learning Aspirants. You'll not get bored, because its a sandwich of Videos Labs and Quizzes. Which will boost your confidence by checking your knowledge. You should must go for it.

I am grateful for the course. I have learned a lot about Machine Learning. Now the topic seems more interesting to me, and especially since in the second course I will learn about Neural Networks. I am very excited.

Really liked the course. The Machine Learning concepts are explained ina crystal clear manner and explanation about any detail could be checked at the respective module. I recommend this course for future learners.