FA
May 24, 2023
The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.
JM
Sep 21, 2022
Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses
By Sapphire A G
•Dec 20, 2023
Fantastic course, but I did struggle a lot with the python coding. I would highly recommend learning that prior to this class!!
By Hugo A
•Mar 1, 2023
Sometimes skips over important math and context but it gets the viewer to experience the libraries and a successful ML process.
By Briant J C
•Jan 17, 2023
Thank you for this fantastic course. The interactive and visualizable optional labs were unique for understanding the concepts.
By Behnaz S
•Jul 23, 2022
i have learnt a lot from this course. your way of teaching these new subjects, has made me eager to learn more an more about ML
By Christine Z
•Jun 30, 2022
Love it! Even the math parts are easy to follow! However, the Labs are a little bit overwhelming especially at the beginning ;p
By Tiago R
•Feb 21, 2024
It was a great course. It allowed my to refresh and solidify my knowledge. Would recommend to anyone who's starting out in AI.
By Brannon O (
•Jan 31, 2024
Andrew Ng is a monster! If you're into AI - ML/DL, then you will surely have to take all of these courses from DeepLearning.AI
By Bishal S
•Jan 19, 2024
Excellent course with great explanation by the proffesor. Optional Labs are highly useful to solidify the knowledge. Thank you
By Ibad D
•May 8, 2023
Well structured course. More hands on programming assignments may be added to explain the various libraries used may be added.
By Patrick L
•Feb 23, 2023
Very good introduction to machine learning with focus on linear and logistic regression. The lectures and the labs look great.
By Meghna P
•Dec 25, 2022
Its an excellent course, very interesting and the integrated labwork in jupyter notebook makes it easier for non programmers.
By umbrella
•Oct 12, 2022
The course content is very detailed, and the practice after class is also very helpful. I hope it can be subtitled in Chinese.
By Kunal
•Oct 8, 2022
It's a best beginner course for non ML learner. Andrew just nailed every lecture by giving corresponding real world cenarios
By Ashmith R
•Jul 8, 2024
Just finished the first course & trust me it was the best structured and taught course on the planet for ML, props to Andrew!
By Aayush R B
•Jun 20, 2024
Learnt a lot from this course, Andrew Ng is just amazing at explaining even difficult concepts in a easy to understand manner
By Paul O
•Jan 31, 2024
I like Andrew's method of teaching. I get to learn the theory first, then apply it in the labs using code and visualizations.
By Mei A
•Aug 7, 2023
good course elaborate everything very well I love this teacher and thanks to Coursera to let me be free to learn this course
By Sandile T
•Jul 27, 2023
Learning Regression and Classification at a scientific level from the subject matter expert, coupled with real life projects.
By Silvano M
•Apr 3, 2023
Excellent course to start learning Machine Learning step by step with examples and exercices to understand better the meaning
By Mohammadreza R
•Mar 9, 2023
Wonderful instructions. Although I think its better to try the codes on a real dataset instead of made up numbers. Thank you.
By SAMPRETH S
•Oct 27, 2022
An excelent course covering the basic concepts regarding machine learning without much fuss about the mathematics behind it.
By ghazal g
•Oct 12, 2022
thank you very much for this wonderful course, i'm so greatful for the teacher, his information and his way in presentation.
By Devender S
•Sep 18, 2022
World's finest course of Machine learning. Highly recommends you to start your journey into the world of machine learning.
By Arjun S
•Mar 28, 2024
Thanks to Prof. Andrew Ny and Team. Amazing course, well structured. Enjoyed doing the course and is definitely recommended.
By Zahid H
•Mar 9, 2024
Great content to learn about the mathematical background of Supervised Learning algorithms (Linear and Logistic Regression).