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

1,891 évaluations

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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451 - 475 sur 486 Avis pour Supervised Machine Learning: Regression and Classification

par Vuk L

24 juin 2022

Andrew Ng surpased himself as far as his teaching skills. I am amazed by quality of his lectures and the way he explains things. However I found that quizes were to too easy. One should just pay attention to what was said during lectures and 100% grade is guaranteed. That's why I'm giving 4.0, although I think 4.5 would be more appropriate. All in all - great first course!

par Yasir N

9 août 2022

Great Intro to ML. I did not find it challenging enough or offering extra info that we can study on our own (like generalised linear models). It also doesn't mention that there are other parameter optimisation algorithms other than gradient descent. Overall a very beginner friendly course, but left me wanting for more, which isn't exactly bad I guess ;)

par Brian R

7 juil. 2022

Amazing coverage of Linear and Logistic regression! T​here is a significant attempt to lower the math bar for this course, which is appreciated and admirable; but then the labs require implementing equations in code, which requires some focus be paid to that portion of the learning.

par Steve M

25 juil. 2022

A​ndrew Ng is a great teacher. I took his original Octave-based Machine Learning class when it came out years ago. I've been waiting for the update in Python. I have to say, this class is not as hard or math-intensive as the original, but so far, it's been great.

par Manikandan E

10 juil. 2022

Great course in Machine Learning for begineers, still required more details and topics which are required to be known for a begineer to get the solid understanding in ML

par Talha K

6 juil. 2022

This is a nice course. It gives a nice introduction to machine learning. The instructor is very nice at explaining concepts in easy to understand words.

par Aniket C

13 juil. 2022

I think it was a really good beginner course, but frankly, a bit slow at times (maybe a bit more could be added to really make it 3 weeks of work?)


6 août 2022

I would like to suggest to add lectures and explianations on importing libiraries and scripiting alos to amkemit more robust and independent

par Ahmed A

4 août 2022

c​ourse is very good, but doesnt make me very envolved in practical work, may be some search and assignments or problems will be better

par Sai G M

21 juil. 2022

It was fantastic! Andrew is a very good instructor. He made most of the concepts crystal clear while explaining the ideas.

par Yousef R

30 juil. 2022

ts a very helpful course to get into AI, i would sa it could use a bit more coding in the videos to demonistrate

par Royston L

21 juin 2022

I don't understand why the practice lab code for gradient descent and the lab assignment code is different.

par Samuel S

16 juil. 2022

It get's exponetially harder as the weeks go by. This course could really use more programming excercises!

par Sai D N

12 juil. 2022

It an introduction to ML. Course flow is fantastic and assignments are important to learn the content.

par Reza A

30 juil. 2022

All the lectures are good. The only thing could be better is the assignments exercises.

par Amirhossein T

29 juil. 2022

well, the videos were phenomenal but i think jupyter notebooks needed their own videos

par Daniel N

12 juil. 2022

I​nteresting, and useful, take on how the different topics relate to each other.


25 juil. 2022

Great course but I​ wish instructor also explaned the option lap code as well.

par Gustavo T

21 juil. 2022

Great content and learning pace. Just think the assignements could be harder.

par Faizan T

23 juin 2022

Vectorized implementation in the assignments would have helped


1 juil. 2022

More graded lab sessions could be included. Good course.

par Jeyanth

5 août 2022

the coding part could have been explained in detail.

par Aniruddh L

12 juil. 2022

Graded Assignments were slightly on the easier side.

par Devender S

30 juil. 2022

A well designed course to learn Machine Learning.