学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈
课程概述
热门审阅
AA
Apr 29, 2023
Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.
MA
Jan 27, 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.
1726 - Supervised Machine Learning: Regression and Classification 的 1750 个评论(共 6,083 个)
创建者 Muhammad S
•Jul 25, 2022
Best course on supervised machine learning by one of the best instructors. It is nither too simple nor too complex.
创建者 Michelle S
•Jul 24, 2022
Excelent. The interactive examples in python make it easier to understand. Congratulations for this excelent course.
创建者 Hari V
•Jan 11, 2026
Very good experience while learning. Every concept is explained clearly and no doubut one of the best course online
创建者 zhifine
•Aug 1, 2024
I like this course very much! It help me go through the basic concept of machine learning quickly, It is wonderful!
创建者 Rishipramod C
•Jul 13, 2024
I personally says it is a fantastic journey throughout my course and learnt a lot new things...Thank you sir....!!!
创建者 TERAN C E A
•Jun 30, 2024
Excelentes explicaciones y metodologías. El instructor sabe cómo transmitir conceptos complejos de manera sencilla.
创建者 Santosh R
•May 13, 2024
i dont have words to express my gratitude to professor Andrew Ng. This is the best course I have ever taken online.
创建者 Paolo B
•Nov 23, 2023
Great teacher, great knowledge. Also very engaging and totally not boring. I wish to have all courses at this level
创建者 Mark E
•Oct 12, 2023
Just the right balance of learning intuition, formal mathematics and coding to get my feet wet in machine learning.
创建者 Sameer M
•Jul 31, 2023
I have learnt more in this course than my 4 year degree. Thank you Andrew NG and coursera for making this possible.
创建者 June C
•Jul 14, 2023
The instructor is really inspiring. The talk with another great machine learning scientist Fei-fei is also amazing!
创建者 Paul H
•Apr 1, 2023
Great course. Andrew Ng really makes the learning curve easier for such a subject as this. Looking forward to more.
创建者 Yash I
•Dec 18, 2022
The course was excellent and enjoyed it.....Thanks so much....(plz add support vector machines(SVMs) to the course)
创建者 Boris S
•Oct 11, 2022
I like this cource. I think it is done exactly right for someone who is familiar with basic math and basic python.
创建者 Ying W
•Sep 2, 2022
Thanks a million for Andrew and the team for this amazing module! Cannot wait to finish the whole specialization!!!
创建者 Jeff H C
•Aug 14, 2022
I loved the course. It was very challenging, but well worth my time. It was a pleasure learning from Professor Ng.
创建者 Mr. C
•Aug 12, 2022
Absolutely impressive lectures and supporting materials.
Two thumbs up to the main instructor and the co-workers !!!
创建者 Laís L
•Jun 30, 2022
Lectures and exercises are very well explained and easy to follow. Thank you Andrew Ng for this excellente course.
创建者 Lars K
•Sep 22, 2025
This course offered exceptional content and a fantastic teacher. It was a well-spent time in every way. Thank you!
创建者 Fai N m A
•Nov 12, 2024
دورة رائعه ومليئة بالمعلومات المفيده اتمنى طرح الكثير من هذه الدورات عن بعد لاتاحة الفرص للجميع بالتعلم والأستفاده
创建者 Kimia N
•Sep 30, 2024
very well structured and clearly explained every concept. maybe add some harder questions to the practice quizzes.
创建者 Hir R B
•Aug 6, 2024
I love how the algorithms are explained more in an intuitive way. The material and optional labs are very helpful.
创建者 Afrina A
•Jul 3, 2024
Such an wonderful course, what helped me most was gaining insights into how those algorithms worked. Truly helpful
创建者 Shaikh A
•Jun 22, 2024
lovely course designed by Deeplearning.ai and stanford university , andrew ng is best tutor in this world for ml .
创建者 Roya P
•Mar 4, 2024
With this course, I relearned all my ML knowledge much much intuitively. The intuition was a breakthrough for me.