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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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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.

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4201 - Supervised Machine Learning: Regression and Classification 的 4225 个评论（共 5,935 个）

创建者 Sobhan A

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Jul 31, 2022

Thanks for supporting us

创建者 Fatma A e

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Jul 22, 2022

great content thank you

创建者 Ninoslav C

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Jul 6, 2022

This course is brillant!

创建者 Tom J

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Jun 25, 2022

Top notch. Superlative.

创建者 celina c

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Dec 5, 2025

es muy bueno el docente

创建者 Mohit N

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Oct 24, 2025

Feeling More Confident.

创建者 Muhammad A

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Sep 10, 2025

Nicely explained course

创建者 teja b

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Aug 27, 2025

very useful. I loved it

创建者 Ahmed Y A A

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Feb 28, 2025

Above my expectations!!

创建者 Padma C

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Feb 28, 2025

Very clear explanation.

创建者 Ram H

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Nov 12, 2024

one og the best courses

创建者 Uttarayan H

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Oct 28, 2024

"IN-DEPTH KNOWLEDGE" 🔥

创建者 Federico S

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Sep 4, 2024

Complete and very clear

创建者 Baby S

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Sep 3, 2024

Great teacher andrew Ng

创建者 mohsin f

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Aug 26, 2024

very nice for beginners

创建者 Youssef M

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Aug 23, 2024

A very excellent course

创建者 Deleted A

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Jul 31, 2024

amazing course and lab!

创建者 Ansari A

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Jul 16, 2024

Love the way he teaches

创建者 Muhammad K k

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Jul 8, 2024

It was a great resource

创建者 Kirellos N

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Jul 5, 2024

Thanks a lot Mr. Andrew

创建者 Mahmudul H

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Jul 1, 2024

its very useful course.

创建者 Abhishek S

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Jun 14, 2024

How can I get the PPTs?

创建者 Dan S

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Feb 25, 2024

Very well formed course

创建者 Chaithanya V

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Feb 9, 2024

Intuitive and Inspiring

创建者 Elizaveta K

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Sep 27, 2023

Thanks for this course!