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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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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：

2501 - Supervised Machine Learning: Regression and Classification 的 2525 个评论（共 5,940 个）

创建者 Animesh S

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May 5, 2024

Excellent course ! Concepts explained in detail for anyone to understand.

创建者 Vikas S

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Mar 17, 2024

The fundamentals were taught well. Really liked professor Andrew's videos.

创建者 Mohammad B

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Feb 13, 2024

I am very happy to join this course and learn many things from dear Andrew

创建者 Mohamed C

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Dec 25, 2023

Perfect , really well studied as a course , the pedagogy is really amazing

创建者 Kashif M

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Sep 17, 2023

Great to learn the interesting mathematics behind the basic ML algorithms!

创建者 A S C

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Jul 4, 2023

Everything's fine but the programming assignment had lot of flaws in it...

创建者 Karim D

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May 11, 2023

Great course for basics. I personally used it as a refresher of my basics.

创建者 Robert B

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May 10, 2023

Fantastic content delivered well with helpful visualization along the way.

创建者 Om S D

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May 4, 2023

Really got a different viewpoint on ML and that it's not just mathematics.

创建者 Jakir H

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Apr 13, 2023

Wonderful course! Learned a lot of concepts with practical implementation.

创建者 nick c

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Apr 6, 2023

The details and the in-dept material really makes this course a must take.

创建者 Satish

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Mar 18, 2023

Thank you for all the hardwork in curating such an amazing course.. kudos!

创建者 Thejas R

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Feb 13, 2023

Absolute best course for beginners to learn the basics of machine learning

创建者 Sam L

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Jan 3, 2023

Great for beginners intreated in AI, but haven't really programmed before!

创建者 Ricky

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Oct 23, 2022

It's an amazing course. It's very useful to me. I like it very very much.

创建者 Min K

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Oct 22, 2022

This course covers well about linear regression and logisitic regression.

创建者 Venu m

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Oct 11, 2022

Thank you very much. Absolutely enjoyed and learned a lot in this course.

创建者 34 S

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Sep 13, 2022

The instructor explained very well and grabbed our attention in lectures.

创建者 Juan L

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Sep 12, 2022

Combined with practical assignments, everything gets more understandable.

创建者 Sandeep D

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Sep 6, 2022

Excellent course content by Andrew Ng Sir. His way of teaching is awesome.

创建者 Mehrab A

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Sep 2, 2022

it was very good course for learning regression and classification basic !

创建者 Amirhasan A

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Aug 24, 2022

This course is one of the best and I liked this course and learned so much

创建者 Uğur B

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Aug 14, 2022

Great course. Even if you are not new to ML this is a good course to take.

创建者 ahmed m a e a

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Jul 27, 2022

That's a great course.

thanks to Andrew Ng, Deeplearning.ai, and Standford.

创建者 MD. M I 1

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Sep 26, 2025

Very well structured and easy to understand lectures with practical labs.