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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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31,265 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

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

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：

4676 - Supervised Machine Learning: Regression and Classification 的 4700 个评论（共 5,920 个）

创建者 Adil M

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Feb 1, 2023

Very elaborate

创建者 Ansh P

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Jan 22, 2023

Amazing for me

创建者 Nimish S

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Jan 2, 2023

Amazing Course

创建者 Ahmed N

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Dec 29, 2022

very very good

创建者 Adam M

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Dec 11, 2022

Awesome course

创建者 Amirhossein S

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Nov 29, 2022

Awesome Course

创建者 Ahmed S

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Nov 17, 2022

very goooooood

创建者 Umit B

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Nov 8, 2022

great job dude

创建者 李Yaki

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Oct 22, 2022

clearly stated

创建者 José B P

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Oct 13, 2022

Just perfect!

创建者 Stefano S

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Sep 29, 2022

Great Andrew!

创建者 Larry_Liu

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Sep 27, 2022

Great Content!

创建者 Shan H

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Sep 21, 2022

Great Course!

创建者 jyoti v

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Sep 5, 2022

Super Course.

创建者 Matome D m

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Aug 30, 2022

Awesome course

创建者 Felipe Q

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Aug 24, 2022

amazing course

创建者 ESPIRITU, J B (

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Aug 16, 2022

very intuitive

创建者 Jyoti S

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Jul 26, 2022

Beginner level

创建者 Jakkala S k

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Aug 22, 2025

very helpfull

创建者 Fabio M

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Aug 17, 2025

best training

创建者 Martin T

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Jun 21, 2025

Very helpful!

创建者 Douglas C

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May 17, 2025

Great course!

创建者 Wu Y

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Feb 18, 2025

great course!

创建者 Runshi X

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Jan 18, 2025

Clear logic!!

创建者 Sathvik S G

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Jan 9, 2025

Very helpful!