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Avis et commentaires pour d'étudiants pour Supervised Machine Learning: Regression and Classification par

1,782 évaluations
417 avis

À propos du cours

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

Meilleurs avis


16 juil. 2022

It is the Best Course for Supervised Machine Learning!

Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!


4 juil. 2022

Andrew Ng is the best proctor for Machine Learning. The course has been perfectly balanced with thoritical as well as practical aspects. After this course I feel so confident. From ZERO to HERO

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126 - 150 sur 461 Avis pour Supervised Machine Learning: Regression and Classification

par Muhammad E R

18 juil. 2022

Amazing course. I learned a lot. Much much better and easy way to understand ML than the original 'Machine Learning' course. Thank you all the team members for reorganizing the course.

par Ronald J

10 juil. 2022

This was a great class! I was excited to see that it was more digestable then the calcualus c229 class on youtube. Also, a must view for the math nerds lol onward to the next course!!

par Musidivalasa G

13 juil. 2022

Fantastic platform to start the machine learning journey, where the very basic and needed terms,definitions, algorithms are neatly explained. Had lot of fun through the entire course.


28 juil. 2022

Pretty great course. Only one concern: Assignment are easy. For added difficulty try to code in vectorized way without using for loop to calculate cost, gradients in the assignment.

par frankie

6 août 2022

what a wonderful and useful course i have attended! Undoubtly, I have learned a lot from it. Thank you for all people who take much more efforts and time for improving this course.

par Nicholaus S

11 juil. 2022

A most excellent course that starts you from 0 to implementing linear and logistic regression completely in Python. Very well paced and produced. Andrew Ng is an excellent teacher.

par Ashish P

22 juil. 2022

What an amazing course! Each and every concept is taught in an easy digestable manner. I cannot thank enough. Many many thanks to the team for offering this awesome course. :)

par Khushal V

10 juil. 2022

It's a great course. Andrew made it perfect for all the people like absoulte beginners and intermediate. I just love it. I cannot say another word just trust me it's worth it.

par ritesh d

27 juil. 2022

The new python implementation is super helpful and clarifies concepts in a very lucid manner. The way the topics are organized makes the entire learning experience wholesome.

par Yueh-O W

4 juil. 2022

​Professor Ng is so kind and nice. Slows down and explains step by step to make it easier to understand, and provides so many python program examples throughout the lecture.

par Meisam R

14 juil. 2022

The best refrence for those who are interested in having a deep and solid understanding of the ML concepts and not just know how to use some library codes like Tensorflow.

par BALA M K

5 juil. 2022

Completely beginner-friendly and helped me navigate the world of ML terminologies easily. I I would definitely recommend it to anyone who wants to switch to a ML career.

par Souradeep K

5 juil. 2022

This is one of the best course available out there. However the programming is little tough, though hints were there but providing some prerequisites would help better.

par Hưng L H

5 août 2022

Many thanks to the people who made this course. A very useful course. I would recommend this course to everyone. Wish the course will have more and more people learn.

par Nayrouz H

5 août 2022

way simpler than the past ml course , prof.Andrew is explaining hard topics in a very easy way , it feels like 3rd grad math , not ml and advanced math ... LOVED it

par Andrew M n

24 juil. 2022

Great, Andrew never fails in surprising me.

just keep in mind that you have to understand how the Algorithms are implemented, and everything will be more than fine

par rachad l

29 juil. 2022

Great Material Mathematically and coding), Great Instructor, Great Graphics. It would be better if it was more challenging in the tests. But Overall It is great.

par Victor A M

8 août 2022

I had taken Andrew Ng's first course on ML using MatLab. It is really good. I am glad this course was made in Python given it is my "native" computer language.

par stephane d

26 juin 2022

I had taken the first specialization which was already very good. This revisited course is also interesting even for those who already knew the first version!

par Jianhua M

25 juin 2022

A​ndrew Ng can turn unimaginable and ingenious ideas into very simple and obvious truths !

~​"The fragrance always remains in the hand that gives the rose."~

par Ardent S

5 juil. 2022

A​ course every enthusiast/leaner of ML or AI must take. Valuable information on different learning algorithms with great insights on how to implement them.

par Nitheesh B

3 août 2022

Excellent course. I had great experience in learning this course. Optional labs are helpful in learning python programming and understanding the concepts.

par Chaitanya B

19 juil. 2022

The teaching style is very good. Andrew Ng Sir is really a good teacher. The course made me even more interested in machine learning and it's applications

par Rahul P

23 juin 2022

Very good explanition of concepts of machine learning.Most impresive is optional labs with intractive viz of concepts .Thanks for such great course!!!

par Tarandeep S

24 juil. 2022

One of the best course to grasp the foundations and internals of machine learning.I like Andrew NG style of teaching very much.One of the pioneer!!!!