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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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31,265 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

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

ED

Apr 13, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

筛选依据：

4126 - Supervised Machine Learning: Regression and Classification 的 4150 个评论（共 5,926 个）

创建者 Luis E M M

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Sep 26, 2022

Amazingly well explained!

创建者 Shivam V

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Sep 20, 2022

Overall a good experience

创建者 Fatemeh B

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Aug 24, 2022

Great course. Many thanks.

创建者 KISHAN G

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Aug 10, 2022

This course was Awesome.

创建者 Mazhar I

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Jul 25, 2022

Highly recommanded .......

创建者 Sam S

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Sep 28, 2025

Andrew Ng sir nailed it!!

创建者 Ashish k

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May 22, 2025

Great Learning Experience

创建者 Jacques-Antoine D

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Feb 25, 2025

Excellent videos and labs

创建者 Romain D

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Sep 26, 2024

Very clear and insightful

创建者 Pranav S

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Sep 20, 2024

Very quality of knowladge

创建者 prabhjot s

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Jul 22, 2024

excellent teaching skills

创建者 Jatin S

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Jun 30, 2024

Best course for beginners

创建者 Sarthak A

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May 20, 2024

thanku andrew ng for this

创建者 Abdullah D

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Mar 24, 2024

Thank you for everything.

创建者 Avishkar P

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Feb 28, 2024

covers solid fundamentals

创建者 Onkar K

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Feb 5, 2024

Andrew ng is best teacher

创建者 Lakshay S

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Dec 27, 2023

Very well designed Course

创建者 Henrique V D H

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Dec 8, 2023

Great introductory course

创建者 Carlos A

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Sep 6, 2023

Great course! super worth

创建者 KARANAM V K

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Jul 20, 2023

this is avery good course

创建者 Youness E Y

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Jun 21, 2023

Great introduction to ML.

创建者 SJin L

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Jun 4, 2023

Perfect online lecture!!!

创建者 Prateek

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Jun 3, 2023

All very good and useful.

创建者 Afdoni P S

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Apr 7, 2023

yoyoyoyoyooy marveloussss

创建者 Adam d G

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Jan 30, 2023

Great overview of basics.