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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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3201 - Supervised Machine Learning: Regression and Classification 的 3225 个评论（共 5,940 个）

创建者 Ti R S

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Dec 24, 2023

Very very good :D I'm making my own ml library now

创建者 Hugo C

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Nov 7, 2023

Fantastic introductory course from Andrew and team

创建者 Akshith G

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Nov 1, 2023

I Have learned many Topics in the Machine Learning

创建者 Yuhong H

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Sep 18, 2023

Great lectures and lab, Andrew is a great lecturer

创建者 Anatoliy B

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Sep 15, 2023

Very well prepared course. Thanks Andrew and team.

创建者 ghassen f

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Sep 11, 2023

well explained for any level of math/coding skills

创建者 Pollab K R

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Aug 31, 2023

nice course. I have learned lots from this course.

创建者 Daniel L

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Mar 21, 2023

perfect for getting something extra under you belt

创建者 javier b

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Mar 18, 2023

Great course to iniciate in this amazing ML world!

创建者 Hariom C

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Mar 15, 2023

A helpful course to begin with machine learning...

创建者 Danish M

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Mar 2, 2023

very excellent course ,mathematical concepts clear

创建者 Vinayak V

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Jan 30, 2023

Very very much needed basics to any data scientist

创建者 Daniel S

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Jan 11, 2023

Started easy, and finished hard. Fantastic course!

创建者 Mert C

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Dec 26, 2022

Andrew NG makes complex topics easy to understand.

创建者 Pranavdeep S

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Oct 25, 2022

Thank you professor for such an enriching course.

创建者 Btsn

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Aug 15, 2022

great course ever . i would like to say thank you.

创建者 BOUSSAHLA O

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Jul 24, 2022

The best course to start learning machine learning

创建者 Elizabeth S O

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Jul 18, 2022

Explanations are intuitive and easy to understand!

创建者 Muaaz A

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Dec 3, 2025

Best online course ever had! Simply High Quality.

创建者 Karan S

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Jul 20, 2025

nice, informational and does make you write code.

创建者 IMANE J T

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Apr 11, 2025

je vous remercie pour cette très bonne formation.

创建者 David P

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Jan 28, 2025

Great content, easy to understand, thanks Andrew!

创建者 Meher D

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Jan 6, 2025

It's a very good course especially for beginners.

创建者 Shubha s

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Dec 8, 2024

Excellent course, a very big thank to Andrew sir.