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学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

4.9
31,265 个评分

课程概述

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....

热门审阅

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.

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.

筛选依据:

1376 - Supervised Machine Learning: Regression and Classification 的 1400 个评论(共 5,919 个)

创建者 Mohamed Y G

Feb 3, 2025

I think this course is essential for anyone who wants to get started with machine learning. Very useful, straight to the point type of course.

创建者 Srinath R

Jul 15, 2024

The concepts were made very easy to understand by Andrew and loved the lab sessions which helped to implement the algorithms and get hands-on.

创建者 BURAY A

Sep 13, 2023

It is the most benefitical Al course I have ever taken. Anyone who starts new in this field can learn any small tips through complex concepts.

创建者 Ikram A

Sep 8, 2023

The course is well explained. As a beginner you can start understanding what is machine learning about. I recommande this course !!! good job

创建者 Filipe P S

Aug 7, 2023

Andrew has an amazing course structure and allows every level of person to learn about ML. I especially liked his intuitions about the topics.

创建者 Remo R

Feb 6, 2023

Excelente curso! Didático e progressivo. Detalhado. Ressalva de precisar de uma base matemática para melhor aprendizado. Professor fantástico!

创建者 Kashan A

Jan 14, 2023

the best course so far, very beginner friendly which gives you deep intuition of how Linear regression and logistic regression algoritm works.

创建者 Caleb S

Oct 31, 2022

Well done course - carefully walks students through basic machine concepts, and builds on these concepts progressively throughout the course.

创建者 Alokkumar B

Sep 27, 2022

It's most amazing course available on internet regarding machine learning. I have learnt alot of things from this course.

Thank you Andrew Ng

创建者 Md S I

Jul 10, 2022

This has been an incredible learning experience. It would be even better, if the labs could be supervised. Everything else is incredibly good.

创建者 KAISEL

Sep 26, 2025

One of the best Machine Learning courses I have ever taken. 10/10, would recommend to everyone that wants to start out with Machine Learning!

创建者 PEEYUSH G

Dec 26, 2024

Nice course for beginners. Every concept is explained very easily and simply with the help of proper material and notes by the great teacher.

创建者 Prajjwal A

Oct 9, 2024

Very insightful! Helped me a lot to get a good grasp of this topic and made me felt motivated to purse learning more about Machine Learning .

创建者 Luis S

Jul 16, 2023

Clear, rigorous, well structured. Excellent design and thought to be useful for a wide range of students. Thank you very much for your work.

创建者 Senji K

Jun 5, 2023

I have learned a lot about supervised machine through small steps and now I am excited to continue my journey on Advanced Learning Algorithms

创建者 Nilesh G

May 7, 2023

Its really a very impressive course, which helped me clear my doubts regarding machine learning and made me confident to learn in more depth.

创建者 Ulfat H

Dec 26, 2022

Not just a lot of valuable information, and clear explanations, but it's also fully fun to listen, to instructors' explanations. Many thanks

创建者 Mohammad A S

Aug 29, 2022

What a course! I have done mathematics of ML courses but never got the opportuinity to do such a hands-on course. Thank you, Andrew and team!

创建者 Muhammed T

Jul 16, 2024

Wonderfully presented by Dr. Ng and the lecture slides were a delight to follow. Quizzes and labs were fun to work on, they kept me engaged!

创建者 Raghu R

May 19, 2024

Very systematic and high quality . enjoyed the videos as well as labs. Summary transcripts at the end of each section will be super helpful.

创建者 Keshav G

Mar 22, 2024

This course is should always be the first choice if you're entering into the field of data science and machine learning, recommend strongly.

创建者 Prithwijit G

Jun 8, 2023

Nice, Excellent, Fabulous... slightly easier than the previous course, named as "Machine Learning", compared to the programming assignment.

创建者 Roy M

May 28, 2023

Excellent hands on course for Machine Learning. Python adds to the challenge but also done in a way that it is not difficult to deal with.

创建者 Sakloua, R M

May 2, 2023

It was great covering all details of the machine learning basics. It is a good starting for anyone who is interested on the AI technologies.

创建者 Field B

Mar 14, 2023

It is probably one of the best things about learning machine learning!

We believe that this material itself will be useful for years to come.