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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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31,366 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：

2601 - Supervised Machine Learning: Regression and Classification 的 2625 个评论（共 5,940 个）

创建者 Pari G

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Jul 18, 2025

very knowledgable course, each and every topic is explained very well.

创建者 Rohan D (

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Jun 13, 2025

I liked the course, However as a course to spend on, its not too good.

创建者 kumaran n

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Jun 10, 2025

great course for beginners, with focus on the fundamentals and breadth

创建者 Mr. S K B M E I

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Apr 9, 2025

Its was very smooth experience in learning the machine learning basics

创建者 Marios P

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Feb 7, 2025

Well-structured, engaging, and highly informative. Highly recommended!

创建者 arihant s

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Feb 5, 2025

It is a great course helpful to both learn and visualize the concepts.

创建者 Andrea S

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Jan 3, 2025

Molto utile e molto chiaro nelle spiegazioni sia teoriche che pratiche

创建者 Jorge A G G

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Nov 22, 2024

Simplemente super...super...super buenoooo el mas completo de Internet

创建者 DEVANSH S

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Nov 11, 2024

well designed course although it could be of more depth mathematically

创建者 Kunal T

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Jul 25, 2024

Andrew NG is so Far the best lecturer and teacher for Machine learning

创建者 Aleksandar S

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Jun 23, 2024

Amazing! Beginner friendly in depth explanation of basic AI algorithms

创建者 Savin S V

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Dec 10, 2023

Great course in teaching the basics of linear and logistic regression.

创建者 Vishnu U

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Oct 18, 2023

World's best introductory course in machine learning. Thank you Andrew

创建者 Fahim G

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Oct 2, 2023

Great hands-on and concise intro course to machine learning algorithms

创建者 Hasham A

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Sep 9, 2023

Great learning experience with actual hands on practice make it worth.

创建者 Mansoor J

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Aug 16, 2023

Great course, easy to follow, and Andrew is great at explaining stuff.

创建者 Abdulrahman O A

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Jul 17, 2023

nice course, i'm very grateful for mr. Andrew for this amazing course!

创建者 Oscar A V

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Jul 10, 2023

Better than expected!

Thank you for sharing such a valuable knowledge.

创建者 Abrar H

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Jun 25, 2023

Very slow paced and understanding. Andrew NG is an amazing instructor!

创建者 CARLOS A B M

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Jun 6, 2023

This course was full of solid foundations to continue dabbling in A.I.

创建者 Daniil N

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Mar 18, 2023

Marvelous course! Very well-explained and with nice hands-on practice!

创建者 Amit L

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Mar 7, 2023

excellent course, greatly organized, highly recommended, thanks a lot,

创建者 Parma R R

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Jan 23, 2023

As always, Mr. Andrew's courses are really good! Totally recommended!!

创建者 Kaleab K

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Jan 8, 2023

A very Thorough and in-depth Resource on Regression and Classification

创建者 Abhijit A K

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Dec 29, 2022

A very well made and useful course for anyone getting started with ML.