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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.

筛选依据：

3426 - Supervised Machine Learning: Regression and Classification 的 3450 个评论（共 5,937 个）

创建者 Hitesh D

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Mar 9, 2025

Easy to understand and great teaching method

创建者 Shubham N K

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Feb 11, 2025

great experience learning from andrew ng sir

创建者 Enrico G

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Nov 3, 2024

Very good, very friendly, labs can be tough!

创建者 Subham M

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Apr 17, 2024

great course for a bigner to get hands on ML

创建者 hegazy a

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Mar 2, 2024

andrew ng is the most amazing instuctor ever

创建者 Zhida H

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Dec 30, 2023

I really enjoy the course. Thank you Andrew!

创建者 SARVESH V

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Dec 23, 2023

I got my skill brush up widen my thinking

创建者 PANIT S

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Dec 17, 2023

Very beginner friendly, highly recommend it!

创建者 Thomas W

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Sep 2, 2023

Wish that this was included in Coursera Plus

创建者 Behzad

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Aug 19, 2023

My favorite course on the platform so far!

创建者 Volodymyr S

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Aug 17, 2023

A very good course for beginning AI journey.

创建者 Krishna C K

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Aug 8, 2023

Amazing teaching process. Thank You, Andrew.

创建者 XIAO Y Z

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Jul 3, 2023

The structure for the Labs are very helpful!

创建者 Eren U

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Jun 6, 2023

Incredibly interesting and insightful course

创建者 Ghizlan A

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May 12, 2023

j'ai apris beacouq de choses dans ce cour la

创建者 Jai S K S C S

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May 8, 2023

Loved the course and Andrew was just amazing

创建者 Akshay P

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Apr 11, 2023

It was such a good and well mannered course.

创建者 B_18_ C P

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Mar 17, 2023

complete all my ml basics. excellent course.

创建者 Deleted A

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Mar 8, 2023

very nice course and explanation is also grt

创建者 NAZIM A

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Mar 1, 2023

A very good introduction to Machine Learning

创建者 Imran k

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Feb 24, 2023

One of the best online learning experiences!

创建者 艾昊（AisingioroHao）

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Jan 29, 2023

Very friendly for machine learning beginners

创建者 Michael A

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Dec 5, 2022

Very good quality, world class explanations.

创建者 Tanmay G

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Dec 1, 2022

Great Content! Sincere Thanks Andrew Ng Sir!

创建者 Abu B

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Oct 28, 2022

The course is amazing. Thank you Andrew NG.