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学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

4.9
32,078 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.

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2851 - Supervised Machine Learning: Regression and Classification 的 2875 个评论(共 6,053 个)

创建者 ArmaniO

Mar 31, 2023

Super well instructed by Andrew NG as usual. Thank you Coursera

创建者 Max O

Mar 10, 2023

Excellent course even when the math can be considered advanced.

创建者 Nehal B

Mar 4, 2023

A very nice module to kickstart your ML journey as a beginner.

创建者 hopeless s

Feb 27, 2023

A cool course with a complete explanation of core ML algorithms

创建者 Morteza D

Nov 17, 2022

it was so good andrew ng is a wonderful master. i enjoyed a lot

创建者 Samuel F G

Sep 26, 2022

Really attractive and smart course, appreciations to Andrew Ng!

创建者 Luis S

Sep 18, 2022

A very good and beginner-friendly course. Totally recommended.

创建者 Minh T

Sep 17, 2022

Very useful in my specialization. Thanks for all your kindness

创建者 Paulito M

Sep 7, 2022

Good flow of lessons and gives a good mathematical background.

创建者 Deepak P

Aug 22, 2022

excellent course structure wise and teaching wise

very good labs

创建者 Elahheh S

Aug 11, 2022

This course answered most questions I had about classification.

创建者 ashbab k

Jul 21, 2022

Full theoratical and practical course especiallly for beginners

创建者 Camilo M

Feb 24, 2026

Excelente, recomendado para los que inician en el mundo de ML.

创建者 NAFIS A

Nov 25, 2025

It has a nice environment to learn with hands on practice lab.

创建者 Natasha h T

Jul 14, 2025

The instruction explains complex algorithm very well and c;ear

创建者 deekshitha

Jun 30, 2025

That was amazing experience under the guidance of Andrew sir:)

创建者 Shrey P

May 27, 2025

One of the best course, Thank you so much for this opportunity

创建者 Gero P

Mar 19, 2025

Excelente nivel , calidad del contenido y de las explicaciones

创建者 Lucas G

Feb 21, 2025

Great for going over intuition, theory, statistics and coding.

创建者 MohammedAbsar

Sep 16, 2024

this course is giving much more knowledge of Machine Learning.

创建者 Akhil P

Aug 27, 2024

Excellent For Getting into the World of Machine Leaning and AI

创建者 S C M

Aug 17, 2024

It is very good for students who want to learn ML effectively.

创建者 Chandana R

Aug 4, 2024

Very simple and easy to understand, labs are the best resource

创建者 John W

Jul 18, 2024

Exceptional! Andrew Ng is such a great motivator and teacher!