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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：

3251 - Supervised Machine Learning: Regression and Classification 的 3275 个评论（共 5,940 个）

创建者 Falak S

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Apr 6, 2023

Awesome Course for beginners for Machine learning

创建者 Abderrahim

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Mar 5, 2023

What an amazing learning journey. Thanks Andrew !

创建者 Jesutomisin A

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Feb 7, 2023

Excellent course and commendable teaching method!

创建者 ขวกร เ

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Jan 15, 2023

Really good for learning root of machine learning

创建者 University G

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Jan 6, 2023

This course is very informative and well designed

创建者 Uilian R F S

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Jan 4, 2023

Great content, clear, concise and easy to follow.

创建者 Prasanna V

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Dec 13, 2022

Very good course to built and revise basics of ML

创建者 Narmin M

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Nov 5, 2022

very helpful, both from practical and theoretical

创建者 Abdul R

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Oct 30, 2022

Excellent build up of Machine Learning Concepts.

创建者 Akash S

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Oct 14, 2022

Very Good course for Machine Learning aspirants.

创建者 Vivek U S D

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Oct 6, 2022

A must to do course to begin in machine learning

创建者 Rudy N

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Sep 19, 2022

Thank you Andrew - seriously this is so helpful!

创建者 김강남

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Jul 13, 2022

Recommend to get intuition of supervised learning

创建者 Mateus B

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Jul 3, 2022

Excellent course, amazing didactic and material!!

创建者 عبدالله ا

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Oct 18, 2025

Clear methodology in explanation and deep detail

创建者 Weebubaka

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Jul 20, 2025

Just exceptional. I can't thank you guys enough.

创建者 Saatwik U

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Jun 26, 2025

Very well structured and it is super interesting

创建者 Lucas V T

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Jun 1, 2025

the most explained course with the best teacher!

创建者 duc t l

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Apr 17, 2025

easy to understand, teach the fundamentals of ML

创建者 AAKASH P

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Mar 29, 2025

Its really a valuable course for AIML aspirants.

创建者 Manoj K

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Feb 19, 2025

A clear and concise introduction to the subject.

创建者 Răzvan E

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Jan 28, 2025

The perfect starting point for an AI enthusiast.

创建者 Wili A

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Jan 20, 2025

Good course, systematic, and easy to understand.

创建者 13 0

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Jan 2, 2025

The best course to start with your journey in ML

创建者 Rahma A

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Dec 21, 2024

I really like the course . Thank you Andrew Ng !