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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

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.

AM

Jul 16, 2022

It is the Best Course for Supervised Machine Learning!Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!

筛选依据：

2751 - Supervised Machine Learning: Regression and Classification 的 2775 个评论（共 5,942 个）

创建者 Yannik S

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Nov 22, 2022

Great introduction to the topic of supervised (shallow) learning.

创建者 Karmvir J

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Nov 20, 2022

Sir Andrew ng goat,

Simple and easy breakdown of complex concept.

创建者 Sampanna S

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Oct 13, 2022

give clear vision and foundational knowledge of machine learning

创建者 Piyush J

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Oct 4, 2022

very efficient learning but better if we write code from scratch

创建者 Oleksandr K

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Sep 27, 2022

The last assignment of the course could have been more difficult.

创建者 BHARATH T

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Sep 18, 2022

This course is the best way to start exploring machine learning.

创建者 jason

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Aug 24, 2022

Enjoyed this course and the labs and notebooks were very helpful

创建者 Behrouz M

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Aug 23, 2022

I had only one such teacher before and I never forgot his lesson.

创建者 Esteban B

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Oct 22, 2025

Very good course. I really like the maths that are in this video

创建者 Benjamin A

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Oct 14, 2025

It was a nice course really taught me a lot. Wasn't disappointed

创建者 Chinmaya S

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Sep 22, 2025

best organized and precise course for starting Machine Learning.

创建者 Budidha B C

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Sep 21, 2025

awesome course never have i ever i have seen this type of course

创建者 Alexandre W

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Jan 22, 2025

Great course with theory and exercises in Jupyter. Very hands-on

创建者 Yash K

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Dec 27, 2024

Andrew Ng Sir is amazing, visualizing the concepts helped me lot

创建者 Marc J H

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Dec 26, 2024

Very good emphasis on the underlying mathematics and statistics.

创建者 Getasew M

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Nov 13, 2024

Thank you professor. It was the best course I have even taken!!!

创建者 Yang Y

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Sep 19, 2024

Intuitive, practical, at the right level of depth for beginners.

创建者 harish k

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Apr 8, 2024

One of the best course in machine to start learning from scratch

创建者 Mridul P

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Mar 6, 2024

It gave me clear insights of the topic.I'm grateful to coursera.

创建者 Craig W C

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Dec 8, 2023

Labs should take longer to complete and tests harder and longer.

创建者 Aman K S

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Oct 21, 2023

Phenomenal Course, not much of coding but lots of Understanding.

创建者 Muhammad U A

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Oct 20, 2023

This was the best course of my entire learning journey till now.

创建者 Pavan G

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Oct 5, 2023

Thank you Andrew Ng sir and the Team Deeplearning.ai & Coursera.

创建者 Muhammad B K

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Sep 5, 2023

Course is excellent as a starter but it is little bit difficult.

创建者 ANKIT K

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Jul 27, 2023

Excellent course content for basic and medium machine learning.