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

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32,311 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

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.

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.

筛选依据：

2126 - Supervised Machine Learning: Regression and Classification 的 2150 个评论（共 6,083 个）

创建者 MASALAWALA P N

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Jan 13, 2023

Well-structured course. Easy to understand and outstanding assignments, lab work, and quizzes.

创建者 Omer S

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Nov 24, 2022

Andrew is the best lecturer I have ever encountered with.

I learned so much. highly recommended

创建者 ehsan r

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Oct 16, 2022

this is the best online class for machine learning with the best instructor andrew NG

THANKS

创建者 Abhijeet m

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Aug 20, 2022

Great way to start / dive into the world of ml and deep learning and different ml algorithms.

创建者 Nischal G

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Jul 23, 2022

Great itroduction to Machine learning and Jupyter Notebook. Concepts are very well explained!

创建者 Muneeba I

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Sep 24, 2025

Very Well explained Sir. I happy to have my concepts cleared more after taking your lectures.

创建者 Deleted A

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Oct 17, 2024

this course is recommended to all who are looking for an starting point for Machine learning!

创建者 Jack (

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Sep 21, 2024

It's a good lessons to learn the Machine Learning .Thanks to coursera and the prof Andrew Ng.

创建者 Lonnie V

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Aug 31, 2024

Andrew is engaging, the course notes are effective, and the Coursera application is flawless.

创建者 Kushagra L

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Jun 3, 2024

Excellent learning experience. All the concepts were explained in a clear and precise manner.

创建者 CHARLA C

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Dec 16, 2023

Andrew is an excellent Instructor! The curriculum is well designed, challenging and valuable.

创建者 Angel S

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Oct 11, 2023

Hacen fácil de entender lo difícil mostrando pasión, lo cual siempre he creído que es un arte

创建者 Karan S

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Aug 11, 2023

Awesome course! A very good start for someone just entering in the arena of Machine Learning.

创建者 [email protected]

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Jul 23, 2023

Very nice course for someone new to machine learning and wanting application-based knowledge.

创建者 Daniil M

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May 7, 2023

Amazing course, it helped me to recap my knowledge about classic machine learning approaches.

创建者 sos

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Mar 5, 2023

Impressive work please do more Standford online team exclusivley my beloved teacher Andrew NG

创建者 TF C

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Feb 25, 2023

A good course that is very helpful for learning the details of regression and classification.

创建者 Suman A

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Jan 12, 2023

Must learn this course for those who are interested in machine learning. Thank you Andrew Ng.

创建者 Boris P

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Dec 5, 2022

Very well explained and useful to go deep in Math and concepts behind basic Machine Learning.

创建者 HESAM

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Oct 9, 2022

Thanks a lot from all. I have been spent good times during learning this course. I love you.

创建者 Nahom T

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Jul 10, 2025

Best for beginners and skilled people to know very about the foundation of Machine learning.

创建者 Dipendra P

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Apr 14, 2025

excellent way of teaching. I have never enjoyed studying online like this before. Thank You.

创建者 Ahmed I

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Apr 12, 2025

Exceptional. Andrew has a way of breaking down things in a very accessible and clear manner.

创建者 Kalanidhi M M e

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Dec 29, 2024

Teaching makes it very easy to comprehend. Hats-off to the wonderful effort by the Professor

创建者 Farzaan D

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Jul 31, 2024

Good course some aspects about logistic and regularization can be explained in an easier way