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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：

4176 - Supervised Machine Learning: Regression and Classification 的 4200 个评论（共 6,053 个）

创建者 Federico

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Apr 2, 2024

Great introductory course!

创建者 Johan S

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Jan 20, 2024

Great course for beginners

创建者 Jonathan M V

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Dec 26, 2023

Great teacher. Great Labs.

创建者 Lingxuan Z

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Dec 25, 2023

Really good course, bravo!

创建者 Francesco P

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Sep 28, 2023

Bestl course for beginners

创建者 katarina j

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Sep 26, 2023

A big thank you to Andrew.

创建者 Steffen B

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Sep 22, 2023

Thanks Andrew, great work!

创建者 Brett H

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Aug 9, 2023

Just excellent, that's all

创建者 Navya N

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Aug 1, 2023

great course helped a lot

创建者 Mtir M

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Jul 15, 2023

Parfait , Merci beaucoup !

创建者 Satya M P

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Jun 27, 2023

Love it. Awesome teaching.

创建者 Pranav R

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Jun 4, 2023

Loved the content and flow

创建者 Ngakan P W

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Apr 10, 2023

Good, the material so good

创建者 Amay V N

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Feb 15, 2023

Great intro to the subject

创建者 BANDHARU S 1

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Feb 12, 2023

this course is awesome....

创建者 jansher m

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Dec 18, 2022

Great learning experience.

创建者 Anshuman S

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Dec 3, 2022

Fully practical & helpful.

创建者 Judy A

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Nov 9, 2022

I love professor Andrew Ng

创建者 Aditya D

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Oct 2, 2022

Best course for beginners

创建者 Luis E M M

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Sep 26, 2022

Amazingly well explained!

创建者 Shivam V

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Sep 20, 2022

Overall a good experience

创建者 Fatemeh B

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Aug 24, 2022

Great course. Many thanks.

创建者 KISHAN G

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Aug 10, 2022

This course was Awesome.

创建者 Mazhar I

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Jul 25, 2022

Highly recommanded .......

创建者 Sam S

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Sep 28, 2025

Andrew Ng sir nailed it!!