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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：

4276 - Supervised Machine Learning: Regression and Classification 的 4300 个评论（共 5,936 个）

创建者 陈曦

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Apr 9, 2023

very nice, keep moving

创建者 S S

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Oct 24, 2022

A great start with ML

创建者 Karan D

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Sep 26, 2022

Execptional Teaching!

创建者 Tahir I B

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Aug 19, 2022

Really awesome course.

创建者 Helio A

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Aug 5, 2022

Amazing, state of art

创建者 saad e

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Dec 7, 2025

thank you very much !

创建者 Erfana M

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Oct 14, 2025

The best intro to ML.

创建者 Berkh J

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Oct 10, 2025

Perfect for beginners

创建者 Divine J

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Aug 25, 2025

Incredible! Thank you

创建者 Ali D

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Aug 17, 2025

Andrew Ng is the BEST

创建者 Lakshya G

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Aug 5, 2025

Fantastic Course!!!!!

创建者 Marek P

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May 19, 2025

coherent and engaging

创建者 Zak R

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May 10, 2025

Definitely Recommend!

创建者 Alberto F

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May 8, 2025

Genial, muy didáctico

创建者 Lee_Infinitee

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Feb 2, 2025

a solid foundation :)

创建者 Fateme Y

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Nov 6, 2024

Your review(optional)

创建者 Francisco J M S

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Oct 15, 2024

Andrew is a genius :D

创建者 Vando G

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Oct 13, 2024

Amazing learning path

创建者 Harshavardhan D

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Jul 6, 2024

great knowledge *****

创建者 AIMANE C

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May 5, 2024

Really amazing Course

创建者 しみずはるたか

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Apr 14, 2024

Andrew Ng is awesome!

创建者 Parham

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Feb 16, 2024

excellent , brilliant

创建者 Parag P *

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Jan 4, 2024

Perfect for beginners

创建者 Saqlain M A S

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Dec 2, 2023

Very Well explained .

创建者 cliffert t

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Oct 11, 2023

Amazing math and code