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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:

2551 - Supervised Machine Learning: Regression and Classification 的 2575 个评论(共 5,940 个)

创建者 Princepalsingh D

Jul 2, 2025

Helped me to dive deeper in the world of ML and gain hands on knowledge.

创建者 Saim A

Mar 26, 2025

Very concise and correct information deliver in the form of short videos

创建者 Pooja K

Mar 25, 2025

Very informative and covers the real problem faced during implementation

创建者 Finn C

Feb 23, 2025

Andrew, you rock! What a total legend. Thank you for your amazing vibes.

创建者 BHAGAVAN K

Dec 7, 2024

A great course which I never seen before. Highly Recommended to Everyone

创建者 Eren A

Nov 3, 2024

Matematik ve kod satırları arasında yumuşak, paralel bağ kuran bir ders.

创建者 rajat v

Sep 7, 2024

simply explained yet powerful stuff. Great course in all helped me a lot

创建者 Vladimir P

Mar 15, 2024

Exceptionally clean explanation of the very basic concepts of modern AI.

创建者 Hao C

Dec 26, 2023

吴恩达老师的新版机器学习,更新为Python了已经,可以说是非常的棒,深入浅出,不需要过多数学,但是最好还是掌握微积分,给五星好评需要理由吗??

创建者 Zheng L

Dec 11, 2023

A very practical course with many examples that are easy to understand.

创建者 khawaja s

Aug 8, 2023

it was a great course , every one starting for Ai shoud do this at start

创建者 ANIL P

Jun 23, 2023

A very good place to get intuition and work on Machine learning process.

创建者 Jonathan R B

Jun 6, 2023

Very technical / mathematical explanation by Mr Andrew Ng! Learned a lot

创建者 Ben T

May 17, 2023

Excellent introductory course that gives the student a solid foundation.

创建者 Barsa D

Mar 19, 2023

Well-explained course with detail-oriented explanation and practice labs

创建者 JESUS J D H

Jan 1, 2023

I cannot be more grateful for such a good, structured and taught course!

创建者 Alexandre L

Dec 25, 2022

The course is so clarifying and the explanations are easy to understand.

创建者 Pasindu S

Nov 3, 2022

Eexcellent teaching by Andrew and well-organized content for beginners.

创建者 Victor V

Sep 25, 2022

Thank you very much for the oportinuty of participating in this course!

创建者 O170325 L E R

Aug 14, 2022

soo good

Andrew's teaching was out of this world

enjoyed every part of it

创建者 Davoud A Z

Aug 4, 2022

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

创建者 Anh T

Jul 26, 2022

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

创建者 Smo H

Jul 25, 2022

Brilliant curse. Brilliant teacher. Can't recommend this course enough.

创建者 CARLOS E A G

Aug 5, 2025

I’m impressed by all the mathematical explanations behind the analysis.

创建者 Ayush S

Jul 19, 2025

Very fun and easy to learn. Andrew did a great work making this course.