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返回到 Supervised Machine Learning: Regression and Classification

学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

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30,502 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

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!!

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.

筛选依据：

5526 - Supervised Machine Learning: Regression and Classification 的 5550 个评论（共 5,780 个）

创建者 Sanjay K

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Jun 23, 2023

This course gives me a lot of idea about ML and other stuffs

创建者 Arwa A

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Mar 30, 2024

great explaining but need to explain coding more than this

创建者 Abhishek_Pandey_IITK

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Aug 30, 2023

A nice and wonderful course.

Bounds you from start till end

创建者 Luca B

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May 14, 2023

Interesting course, not too heavy but direct to the point.

创建者 Hammad U

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Aug 8, 2025

Good community and nice instructor Sir Andrew Thanks Alot

创建者 Shravan D

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Aug 25, 2024

may be a bit more mathematics is required to be explained

创建者 Wassim R

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Apr 18, 2023

I hope to find some obligatory labs (20-30% for example).

创建者 Samer A

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Sep 23, 2025

thanks for the valuable materials and the financial aid.

创建者 Vishesh D

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Aug 21, 2024

Great experience with my very first course on ML and AI!

创建者 Aryan G

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Sep 4, 2022

the optional lab code should be explained in the videos

创建者 Vishal V

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Jul 1, 2022

More graded lab sessions could be included. Good course.

创建者 Omkar D

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Jul 19, 2024

requires more practice lab, content is great thank you

创建者 Moisés M B R R

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Oct 25, 2022

Great for those looking to get into Machine Learning.

创建者 Mahesh R

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Jan 3, 2025

It was super , but i think i need even more practice

创建者 Mubbara M

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Dec 5, 2024

This course is good for developing your basics in ML.

创建者 Holmes

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Jul 3, 2023

A little bit overwhelming in the last lab. I love it.

创建者 Radhey K

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Jul 23, 2025

Something that is literally essential for a beginner

创建者 Janardhan P

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Mar 9, 2024

Good explanation. ButI expected more deep knowledge.

创建者 Tobias H

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Jan 29, 2023

Very rough overview. But good entrance level lecture

创建者 Francisco A S

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Sep 30, 2022

Lacks coding , but its very nice in terms of theory

创建者 Jeyanth (

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Aug 5, 2022

the coding part could have been explained in detail.

创建者 Aniruddh L

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Jul 12, 2022

Graded Assignments were slightly on the easier side.

创建者 Jayanth S

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Aug 7, 2024

Helps to understand the intuition behind the model.

创建者 Shaurya V S K

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Jun 19, 2025

Great course for introduction to machine learning.

创建者 RAHUL V

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Nov 30, 2023

Its a great start in the field of Machine Learning