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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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31,304 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

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

ED

Apr 13, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

筛选依据：

5701 - Supervised Machine Learning: Regression and Classification 的 5725 个评论（共 5,929 个）

创建者 Mouad K

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Sep 15, 2024

More frequent labs would have helped me more

创建者 Kashif S

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Sep 20, 2023

The lab exercise should be more interactive.

创建者 Yellampalli S A

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Feb 22, 2024

Should make the Labs a bit more challenging

创建者 arshdeep s s

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Jun 16, 2023

week 3 is tough but this course is amazing

创建者 Saikat K

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May 19, 2023

The material and course structure was good

创建者 Mykola S

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Jun 24, 2022

a bit more complicated tests will be good

创建者 Geeta S G

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Nov 25, 2025

Please add building real projects as well

创建者 EMMMM10086

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Nov 20, 2025

little bit of too fundemental and basical

创建者 Bhanu P G S

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Dec 30, 2023

Codes re directly coded and not explained

创建者 TICHKULE R R

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May 18, 2025

little too outdated for today's scenario

创建者 Balasubbaiah L

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Nov 9, 2024

required more realtime usecase scenarios

创建者 Sabtain K

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Mar 25, 2024

Wish there were a bit more project work.

创建者 Sandeep T

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Jun 24, 2023

Gradient descent concepts were not clear

创建者 Gavin H

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Apr 25, 2023

Slow, but in depth. Well done in total.

创建者 Harinda F

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Sep 28, 2022

programming assignments are very basic

创建者 AMMARI h

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Aug 12, 2023

Great course , explanations were clear

创建者 Shaikh I

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May 16, 2023

Good content and excellent explanation

创建者 Surendra A

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Nov 29, 2022

Great course, for basic understanding.

创建者 Zlatko J

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Sep 20, 2022

more coding exercises would be great!

创建者 Pulimi Y

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Jul 28, 2022

great course to start Machine Learning

创建者 Kumar M

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Jul 4, 2025

This course is very helpful for me .

创建者 Kavya M

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Dec 24, 2024

course was good but very complicated

创建者 Ajay C

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Sep 21, 2024

Very useful to my career development

创建者 geet c

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Mar 31, 2023

Really Good Course to start of with

创建者 Kunal E 2 P U

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Aug 20, 2022

The labwork can be much much better