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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
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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：

2276 - Supervised Machine Learning: Regression and Classification 的 2300 个评论（共 6,083 个）

创建者 Shubham N

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Jul 27, 2024

Excellent methods used to bring a complete novice to speed on the complex ML concepts.

创建者 Hardik L

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Jun 10, 2024

Brilliantly taught each concept with complete clarity , loved to learn from Andrew Sir

创建者 Sneha A K

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May 26, 2024

Classes were brilliant. Especially the practice sessions. Each idea was clear for me.

创建者 Yakov K

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May 18, 2024

Amazing quality and clarity and selection of materials and examples. Truly insightful!

创建者 Philip S

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May 27, 2023

Very very good course . I covers the basics of regression and classification very well

创建者 Valentin B

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Apr 9, 2023

Amazing course and teacher, even the math didn't seem as hard with Andrew teaching it!

创建者 osama m

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Mar 19, 2023

Very understandable, Very Valuable course, Really gained rich knowledge.. Thank you :)

创建者 Vinicius G

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Jan 12, 2023

Exceptional course, the professor didactics are awesome. I really enjoyed the content.

创建者 Sohan L Y

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Dec 27, 2022

full of knowledge and best way to clear the topics properly from basic to intermediate

创建者 Chumpol_th

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Nov 17, 2022

I like to studied to this course the instructor can make difficult things very easy.

创建者 amir t

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Oct 31, 2022

well, the videos were phenomenal but i think jupyter notebooks needed their own videos

创建者 Shivam M

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Sep 15, 2022

Well made course, easy to understand and explained mathematics behind each algorithm.

创建者 Chapparam s b

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Sep 4, 2022

This course is good but instead of more optional class please keep lot of assignments

创建者 Gokul V

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Aug 8, 2022

Excellent teaching and i am able to get deeper side of fundamental of Machine learning

创建者 Carlos M

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Jul 3, 2022

Excellent course. I am very happy to conclude it and I can wait to start the next one.

创建者 Mihai B

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Jun 24, 2022

Excellent at building intuition for ML. Great course for both newcomers and veterans.

创建者 Python P

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Jun 22, 2022

Really enjoyed this course and looking forward to the next one in this specialization.

创建者 Kato H W

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Nov 4, 2025

Great Course, I loved it and the instructor explains so that everyone can understand.

创建者 ahmad n

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Oct 19, 2025

this course is beginner friendly, only need a basic high school math and you're ready

创建者 Ayushman Y

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Apr 29, 2025

Best course on ML basics, on its mathematical logics...Words Can't describe it!!! :))

创建者 Zhaoyuan L

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Nov 1, 2024

Great course for getting a basic understanding about linear and logistic regressions.

创建者 Shivam G

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Jun 23, 2024

very nice, the graded lab actually helped me a lot to understand the topics properly.

创建者 Sunlight b

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Apr 18, 2024

best course ive ever taken such a great mentor you are Andrew cant wait to learn more

创建者 Mohamed O A

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Feb 4, 2024

Absolutely, one of the best ML courses out there, specifically for academic purposes.

创建者 milad f

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Jan 29, 2024

It's one of the best courses I have seen before and thanks a lot to all of the staff.