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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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32,078 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：

3851 - Supervised Machine Learning: Regression and Classification 的 3875 个评论（共 6,053 个）

创建者 Guantai N

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Nov 6, 2022

Great course and excellent delivery

创建者 Arash M

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Oct 20, 2022

Great service to mankind for sure!

创建者 Saurabh A

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Sep 6, 2022

Andrew Ng is the best of the best!

创建者 Aryan A P e

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Sep 6, 2022

Easy to follow and quite intuitive

创建者 Amir-Ali M

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Jul 30, 2022

Phenominal course for entering AI.

创建者 Hasibul H

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Jul 18, 2022

One of the best course of Coursera

创建者 Xinyue L

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Jul 14, 2022

A really good high level overview!

创建者 Aditya P

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Feb 17, 2026

It is just too good, even in 2026.

创建者 Devanath S

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Jan 18, 2026

Excellent material and explanation

创建者 Sixto M

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Oct 30, 2025

Excelente el docente y el material

创建者 Sidney H

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Oct 14, 2025

I need to take Python & Satistics

创建者 ESHITHA K

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Sep 28, 2025

Very Usefull ML motivated students

创建者 Ho M D

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Aug 1, 2025

Perfect start for machine learning

创建者 JW

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Jun 25, 2025

Excellent Machine Learning Course!

创建者 Suhaib V

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May 29, 2025

I gained many knowledge, Thank You

创建者 Anshuman N

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Mar 21, 2025

Very Good beginner friendly course

创建者 Ibrahim K

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Dec 23, 2024

Amazing explanations and breakdown

创建者 Gajendra K .

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Dec 18, 2024

Teaching method is very excellent.

创建者 Bách C V

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Sep 11, 2024

This course is beginner friendly !

创建者 Harihara s R

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Aug 24, 2024

very helpful thanks for the course

创建者 pritam d

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Aug 17, 2024

Great course. I have learnt a lot.

创建者 Abigail L

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Jul 28, 2024

老师讲得非常好，有趣生动，对我学习机器学习入门帮助真的很大，受益匪浅

创建者 Flávio N

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Jun 20, 2024

Excelente conteúdo, otima didatica

创建者 Saagar T

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May 29, 2024

Perfectly paced and soft lectures.

创建者 Mayank G

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May 19, 2024

Thanks For Delivering Good Content