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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
31,366 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:

2376 - Supervised Machine Learning: Regression and Classification 的 2400 个评论(共 5,940 个)

创建者 Nath

May 16, 2024

this is absolutely the best beginner friendly course available on the internet

创建者 Ahmed E

Apr 5, 2024

اسلوب المدرس سهل للغاية بالرغم من صعوبة المحتوي الا انه استطاع تبسيطة بشكل كبير

创建者 Harshit B

Apr 3, 2024

Loved it. The course structure and the concepts taught were highly interesting.

创建者 Ajay Y

Mar 3, 2024

it's a best way to learn the machine learning from scratch. I love this course.

创建者 Wilmer R V

Feb 20, 2024

Muy bueno, comprensible y práctico, te da una idea clara de los temas expuestos

创建者 郭自强

Feb 7, 2024

不愧是机器学习最为推荐的课程之一,感觉非常的深入浅出,吴教授所讲授的知识都是比较容易理解的,也可能是入门部分,总之认真学习之后会对着部分的内容有比较好的理解。

创建者 Isaac C J

Dec 27, 2023

Thank you to everyone that was involved in developing and creating this course!

创建者 Ershad S

Aug 26, 2023

Solid 5! Thank you so much Andrew and team! Awesome job! Appreciate all you do!

创建者 Sam S G

Apr 6, 2023

it was a perfect course for me to start learning about machine learning basics.

创建者 SVASTIK K

Mar 10, 2023

The best course out here for a beginner to step into field of Machine learning.

创建者 Davin D B

Nov 5, 2022

Great course to learn the foundation of machine learning (supervised learning)

创建者 Ben P

Oct 28, 2022

Very well presented that even the not so mathmatically inclined can understand

创建者 Jaswanth R

Oct 2, 2022

Highly recommend this course to everyone . It covers all the basics very well.

创建者 Adeel H

Jul 22, 2022

Very well explained and also sufficient optional lab to give more clear picture

创建者 Krishalika R

Jul 17, 2022

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

创建者 Rafael d F L

Jul 15, 2022

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

创建者 Masoud S

Jul 11, 2022

Clean, high quality, orderly, neat, to the point, no redundancy, no confusion.

创建者 Adil I

Nov 23, 2025

The course is easy enough and a lot of practicals ensure my good understanding

创建者 Abdul B H

Sep 12, 2025

Very clear, beginner-friendly course with excellent explanations by Andrew Ng!

创建者 Abhay V

Nov 15, 2024

Best introduction to AI models. Thoroughly enjoyed every moment of the course.

创建者 Roman M

Feb 28, 2024

Good background knowledge. I'd supplement this with an ML focused math course.

创建者 Txema F

Dec 7, 2023

Excelente aproximación al machine learning para conocer todos sus fundamentos.

创建者 Antoine C

Nov 4, 2023

Amazing course ! This is very well designed congratulations to all the team !

创建者 Christopher D

Oct 16, 2023

The professor who presented it was great!!! Really liked his style of teaching

创建者 Reyhaneh D

Sep 18, 2023

The course content was really helpful. The course material was easy to follow.