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.
AD
Nov 23, 2022
Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.
By OM B 2
•Jul 28, 2022
Excellent course!! must be taken by an AI enthusiast. The concept is explained in a clear and crisp manner. The content is organised in such a way that while going through it, we will master concepts step by step.
By Matt F
•Feb 4, 2024
The course was very easy to follow. The concepts and math were also easy to follow, even for someone like myself who has spent a lifetime programming, but gets overwhelmed whenever I look at statistical formulas.
By Naveen R
•Dec 28, 2023
Great introduction to regression and classification with machine learning applications. The course is more accessible to those who have some background in calculus and python coding but its not a limiting factor.
By Matahari R
•Aug 31, 2023
Great course from Andrew and Stanford, all materials are explained clearly. even someone who is not familiar with math can take this course because Andrew abstract them and only explain the necessary one. thanks.
By Sandip P
•Aug 1, 2023
This course is very awesome! I am so excited to share that this is my first course in AI, this course is beginner friendly and actually boosted my interest in AI&ML. I am so happy and satisfied with the course :)
By Ahmad R
•May 29, 2023
Superb course:
Amazing Videos, Quizzes, Optional Labs and Assessments. Liked the content very much
*Would recommend to decrease the length of practice labs, note :not the number of exercises.
Thanks Andrew n team :)
By Mayuresh C
•Jan 31, 2023
Really this course helped me to learn new stuff about Machine Learning and more importantly mathematical side of ML algorithms. All the optional labs and practice labs were informative and interactive. Thank You.
By rahul k
•Jul 17, 2022
Topics covered are very useful and can be implemented in real life. Clear and Precise explanation of each topic. Pace of this course is quite good. Visualizations made it easy to understand the basic principles.
By Dibyansh G
•Jul 22, 2023
I would like to thank Prof. Andrew Ng for their role as a teacher in my learning. The course is designed very well so that a beginner like me can also learn demanding courses like machine learning. Thank You!!!
By Jeffrey B
•Feb 24, 2023
Good course, very easy to understand, and the labs give you some good visual aids to help absorb the material. Overall a good experience, looking forward to the rest of the Machine Learning Specialization track.
By Boyang H
•Jul 15, 2022
Although This should be deemed as an Intro Intro Course to Machine Learning, you can not really find a better way to dive into the field. Andrew Ng is one of the best professors you can have in your whole life.
By Daniel J R B
•Jul 14, 2022
I liked this course, very didactic and with many practical labs where you can experiment and understand all the math behind the ML models, and also learn all the basic programming to implement them using Python.
By aakash b
•Jun 23, 2022
In the world of today when most people are pursuing courses for an embellishment of their CV, this course shows that the best minds are those which focus only on learning without worrying about the consequences.
By Rajat D
•Sep 9, 2023
I feel really happy and lucky to learn from Professor Andrew Ng. I love how he teaches, it's like watching an interesting movie. Now, I'm excited to start the next course in the Machine Learning specialization.
By Sudip S
•May 5, 2023
I was a receiver of financial aid for this course and it's a brilliant course to get started in the field of machine learning. Everything is superbly articulated and that makes the study simple and hassle free.
By leslie h
•Jan 29, 2023
just a really well paced, non bloated curriculum, for what is an extremely hard subject. I had to do everything twice to really get there, especially with the code, but this of course is not unusual in learning
By Devinder K
•Jul 11, 2022
Very well designed. I am glad that I joined this course. Video embeded questions and quizzes really helped in clearing the concepts.
Lab practices were an added bonus to pace up our learning.
Thank you Andrew Ng
By Julio L
•Oct 27, 2022
Excelente curso. El material es básico, apto para principiantes. Las lecciones son intuitivas y fáciles de seguir. Los laboratorios opcionales permiten revisar detalles de la codificación de los algoritmos.
By Azaz B
•Oct 9, 2022
The course was amazing. Andrew Ng is my most favourite instructor at online platform and I really enjoyed the course. This course has boosted my confidence and thrill to enhance my career in machine learning.
By Samuel Q
•Aug 2, 2022
Lectures are very well made. Support material (jupyer notebooks) is excellent. Awesome course. Great way to brush up on the basics and its also nice to hear Andrew's enthusiasm and passion for machine learning
By Vardan M
•Jul 8, 2022
This course is next level gives all the intution about machine learning algorithms including linear and logistic regression and also go throug one of the most popular machine learning library named Scikitlearn
By Pulkit M
•Sep 3, 2023
Fantastic course for anyone who is new to ML. To make the most of the course you will have to spend some time studying the math concepts introduced in the course and by practicing Python code on your machine.
By homi c
•Mar 9, 2023
The course is so great that I finish it with little effort, but if the course can publish materials like pdf and notes, things will be better. I also wish that the captions can be revised to be more accurate.
By Avi W
•Oct 9, 2022
Clear and approaches from the mathematical point of view, which allowed me to better understand, rather than approaching from the ML point of view, which includes its set of unique and often confusing terms.
By Rafael B
•Sep 26, 2022
Quizzes could be harder, but I really enjoyed how the course teaches you the underlying mathematical aspects of each discussed model and showing why it works instead of simply plugging a data into a blackbox