学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈
课程概述
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ED
Apr 13, 2025
Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!
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.
901 - Supervised Machine Learning: Regression and Classification 的 925 个评论(共 5,915 个)
创建者 Javier G
•Apr 27, 2024
Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.
创建者 Sebastian A
•Aug 9, 2022
I really liked it! Andrew explained perfectly all the concepts and I understood everything.
The only thing I think It could improve is to have more Lab Tests, so you practice more what you have learnt.
创建者 Mir S A
•Jan 28, 2025
I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.
创建者 Adrian C
•Oct 8, 2024
great course. Nice explanation even if you are not familiar with certain mathematical concepts Like Gradient. I would recommend having some mathematical base to ease the understanding of the course.
创建者 renaisan g
•Aug 31, 2024
The course was excellent, and I gained valuable knowledge throughout. I am also grateful for the financial aid, which allowed me to complete the program successfully. Thank you for this opportunity.
创建者 Nyasha M
•Jan 6, 2025
It is a good course if you have some background in ML or are looking into seeing if it's a field for you. I would suggest reading extra and building models to get maximum benefits from this course.
创建者 Matthew W
•Dec 12, 2024
Andrew was a great teacher, explaining complicated topics in a simple and intuitive way. The programming assignments helped to put theory into practice. A great place to start learning a new field!
创建者 Abdullah-Al M
•Mar 11, 2024
This course has offered invaluable insights and clarity in understanding machine learning concepts. It was a nice journey towards understanding practical application and complex concepts made easy.
创建者 Rizwan N T
•Apr 13, 2023
it is probably one of the best courses i've ever taken, definitely recommend for beginners, and then to further improve your skills, take the other 2 courses of the specialization, i will do so too
创建者 Fahad M
•Sep 22, 2022
Very Engaging course. The instructor explains stuff in a way such that a student can develop a sound intuition of the mathematics behind the algorithms in addition to the implementation side of it
创建者 Anuj P
•Sep 3, 2022
A perfect course for beginners who are seeking to learn machine learning. I want to thank Mr. Andrew Ng and his team for this wonderful course. Thank you so much for providing this quality course.
创建者 João V B
•Aug 19, 2022
It's a very comprehensive course for beginners. Like others said, I believe it best if the person knows some basic Python and algebra for this, as they'll be able to better understand the lectures.
创建者 Yashika B
•Mar 19, 2024
I believe that Andrew Ng is the father of machine learning . The Course was intutive and easy to understand . This course is the basic building block for machine learning . Hats off to the efforts
创建者 anand r
•Feb 24, 2023
Awesome lucid and lots of infographics with hands-on lab exercises. The instructor is well organized and has lots of research experience in his field which is evident after completing this course.
创建者 Muhammad A A
•Feb 8, 2023
Thanks for giving me the financial aid for this course.
This course really helps me to learn something new, and I really appericiate that you guys helps the student to learn these skills.
Thank You!
创建者 Yasin A
•Dec 31, 2022
I learned about the important concepts and algorithms on supervised learning in this beneficial course. I highly recommend anyone who wants to start in this field to take advantage of this course.
创建者 Nick T
•Oct 18, 2022
A very good course. The videos are well thought out with a good entertaining presentation. The labs reinforce the material presented in the videos and are the best training exercises I have seen.
创建者 Mahdieh E
•Jul 21, 2022
this course has helped me become familiar with machine learning concept, it is a great opportunity to learn machine learning algorythms, for everyone with a basic knowledge of Math and Statistics.
创建者 Akshat S
•Mar 29, 2025
The course was perfectly organised and taught by one of the best professors you can find online. He taught both theoretical and practical knowledge, keeping things fundamental from the beginning.
创建者 Shantanu D
•Mar 30, 2024
The course was very informative and the instructor was very good at explaining the topics and teaching the material. I feel confident that I will be able to demonstrate my knowledge in real life.
创建者 Kristine V
•Dec 17, 2022
I have taken quite a few Machine Learning courses and this is my favorite so far. Very clear explanation, helpful visuals, super informative! Great job team for creating this awesome course. 5/5
创建者 Sohan P
•Sep 4, 2022
The starter code for the third assignment was a little deceiving. I coded it using np.dot() instead of a for loop and I feel my method would be useful in some cases as that's how the notation is.
创建者 Ciro M P
•Jul 1, 2022
Great course. Easy to understand but deep in contents. Accesible even if english is not you mother tonge, but better if you have certain math base knowledge. The Jupyter notebooks are so useful.
创建者 Martiño V
•Feb 27, 2025
Me congratula haber podido completar un curso que considero de gran importancia para mi futuro y abre las puertas a poder completar mi formación más a fondo en Machine Learning y el uso de la IA
创建者 Jeet S
•Jan 23, 2025
Really helpful for people who are novice in the world of machine learning, the course structure and instructor's way of teaching gradually builds the knowledge needed for much advanced AI tasks.