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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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31,304 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：

4251 - Supervised Machine Learning: Regression and Classification 的 4275 个评论（共 5,934 个）

创建者 JinSoo K

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Jan 2, 2025

It was a great course!

创建者 Dhruv G

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Nov 2, 2024

very helpful and basic

创建者 Karen O

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Oct 15, 2024

¡Excellent, thank you!

创建者 Tuyen T

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Sep 11, 2024

Very interested course

创建者 Laura M C

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Aug 27, 2024

Te da muy buenas bases

创建者 Raj M

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Aug 10, 2024

Quite a bit intersting

创建者 Youssef

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Jul 31, 2024

this course it helpful

创建者 rana n

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May 20, 2024

it is very good course

创建者 Việt T D

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May 17, 2024

Such a good ML course!

创建者 Himanshu R

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Feb 28, 2024

Very good explanation.

创建者 FAYCAL D

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Feb 20, 2024

best course i ever had

创建者 BULENT G

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Feb 20, 2024

very good introduction

创建者 Anannya M

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Jan 22, 2024

Andrew sir is the best

创建者 Rakesh K

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Sep 26, 2023

Amazing teaching style

创建者 Filya

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Sep 18, 2023

Thank You very much!!!

创建者 Syed S A

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Sep 9, 2023

Excellently explained!

创建者 Mazen K

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Aug 26, 2023

Highly Recommend this!

创建者 Bodo C

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Aug 24, 2023

I enjoyed this course.

创建者 임준수

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Aug 16, 2023

What a useful lecture!

创建者 Islam A

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Aug 1, 2023

The course is amazing.

创建者 Deleted A

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Jul 29, 2023

Such a helpful course.

创建者 Nicolas H

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May 26, 2023

Very well made course!

创建者 Raghavendra K

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May 21, 2023

Excellent Explanation.

创建者 M R

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May 17, 2023

It is simply excellent

创建者 陈曦

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Apr 9, 2023

very nice, keep moving