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学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

4.9
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32,032 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

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.

WB

May 23, 2024

amazing course and super easy to follow. my only problem is that it doesn't delve too deeply into the math and science of things and focuses more on practical applications rather than how things work

筛选依据：

6026 - Supervised Machine Learning: Regression and Classification 的 6045 个评论（共 6,045 个）

创建者 Andrei M

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Dec 16, 2025

I can't finish the course because in have a problem with the browser, also i can't unenroll

创建者 Scott W

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Sep 17, 2025

when you finish an assignment the completed assignment wont load... horrible IT design

创建者 Amith g

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Sep 26, 2025

I took this course from canara bank why its not giving access to other 2 courses

创建者 Victoria A

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Dec 6, 2025

Can't download labs after course ends sucks!!!!! I already paid you once greedy

创建者 Lon J C

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Nov 5, 2025

It was terrible. It just stops in the middle and will not continue.

创建者 John J C E

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Aug 11, 2024

too many failures and lack of troubleshooting support in the labs

创建者 Reza Z

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Jan 9, 2025

You'd better make a course on how you spread covid in the world

创建者 Emek T

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Jul 5, 2024

Too much math, not enough practical code examples

创建者 Paniz

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Dec 31, 2024

unusable. the course audio does not work .

创建者 Amod U M

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Jan 19, 2025

The coding part has no correct guidance.

创建者 ARIANNA K

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Jul 12, 2025

Way too complex for a complete novice.

创建者 jared m

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Oct 29, 2024

wont let me unenroll so you get a 1

创建者 nouhaila a

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May 1, 2024

I can't see my certification

创建者 Abdullah A

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Aug 15, 2024

Jupyter Lab doesn't work.

创建者 Abzal K

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Nov 10, 2025

Where is my Certificate?

创建者 HUGO E

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Feb 20, 2026

no dan titulo

创建者 Мамбетова Е Е

•

May 6, 2025

Онша емес

创建者 Johannes K

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Sep 24, 2024

GARBAGE

创建者 Ma'murjon N

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Mar 27, 2025

bad