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

1,978 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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251 - 275 sur 496 Avis pour Supervised Machine Learning: Regression and Classification

par Krishalika R

17 juil. 2022

A good course even for beginners. Optional and practice labs are well designed.

par Rafael d F L

15 juil. 2022

curso básico, não recomendo para quem já estuda machine learning há algum tempo

par Masoud S

11 juil. 2022

C​lean, high quality, orderly, neat, to the point, no redundancy, no confusion.

par 회사원코딩

30 juil. 2022

기대 이상이다. 간결하지만 핵심을 가격한다. 생활코딩 같은 난이도에, 잘 짜여진 코드로 이해를 더욱 돕는다. 그 어떤 책보다 낫다고 생각함.

par Ishan M

27 juil. 2022

G​reat course, start from very basic and helpful in building solid foundation.

par Shrirang M

23 juil. 2022

Great teaching methodology. Prof Andrew covered each and every topic in depth.

par Deleted A

11 juil. 2022

Very well designed course. A ton of thanks to Dr. Andrew Ng and Team Coursera.

par anup

11 août 2022

A​wesome learning experience, including refreshers through the practice labs!

par Dhanemkula S N N K V K

14 juil. 2022

Good mathematical explanation how maths behind the algorithem is just awesome

par Deleted A

30 juin 2022

Everything is explained very clearly. Thanks to Professor Andrew and Coursera

par Kizmaz E

11 août 2022

a very impressive, entertaining and productive course. Thanks for everyting.

par Fabio

4 août 2022

Great course with fundamentals of linear regression and logistic regression.

par Ahmed S

31 juil. 2022

it was amazing and very easy to understand ,I highly recomminded to take it

par Salman A

30 juil. 2022

Probably one of the best course for begineers. Thank you Profrssor Andrew Ng

par Kunal T

22 juil. 2022

This is awesome refresher on the supervised learning, glad I opted for this.

par Steve S

1 juil. 2022

I should have taken this course prior to the CNN series. Fantastic job !!!!!


30 juin 2022

W​ish the assignments were a bit more challenging but the lecture was great!

par Zetao L

25 juil. 2022

The course is easy to follow, and the coding assignments are well designed.

par José A M

26 juin 2022

Great to learn machine learning foundations without any previous knowledge.

par Michael J

23 juin 2022

THE G​old standard in terms of courses you can find for Machine Learning...

par ahmed m a e a

27 juil. 2022

That's a great course.

thanks to Andrew Ng,, and Standford.

par Hritik K

22 juil. 2022

very good structured !!! thanks to Andrew ng and his extraordinary team!!

par Davoud A Z

4 août 2022

A Fantastic course with a legend (Prof. Andrew Ng). Thank you coursera.

par Anh T

26 juil. 2022

complex topics are explained clearly and practice labs are very helpful.

par Smo H

26 juil. 2022

B​rilliant curse. Brilliant teacher. Can't recommend this course enough.