Name: Supervised Machine Learning: Regression and Classification
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (5780 reviews)

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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

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30,502 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....

5726 - Supervised Machine Learning: Regression and Classification 的 5750 个评论（共 5,781 个）

创建者 Fernando B

•

Oct 23, 2023

Laboratórios muito básicos

创建者 Aravind N

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Jun 6, 2024

Could cover more concepts

创建者 Kotulski G

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Aug 5, 2024

Not enough practice quiz

创建者 Tanishka G

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Jun 18, 2025

GOOOOOD COURSE

创建者 Harsh S

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Jun 15, 2023

average course

创建者 Biswaraj

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Jul 3, 2024

quite good

创建者 Donia A R A

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Jul 16, 2022

Excellent

创建者 vivek N

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Aug 31, 2024

ok ok ok

创建者 Krishna S

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May 21, 2024

too fast

创建者 Kushagra G

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Oct 14, 2024

decent

创建者 Eman E

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Feb 9, 2024

good

创建者 Mahesh G

•

Aug 21, 2023

创建者 Richie B

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Nov 29, 2022

Great course if you know how to program, but you really need a python background to appreciate it.

创建者 Daniele d b

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Dec 14, 2023

quite too basics...too few practical exercise, just scratching the surface of ML

创建者 rverker

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Jun 23, 2024

Impossible to do the exercises if you don't pay. The course is interesting.

创建者 Rohan S

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Jun 2, 2025

The course should have mentioned that Python knowledge is a prerequisite.

创建者 Juergen G

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Aug 15, 2023

Very nice and helpful for my next career steps.

创建者 Anish I

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Jan 29, 2024

too theoretical, not much hands on learning

创建者 Shoaib K

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Sep 7, 2024

Fix your week 2 lab exercise the last one

创建者 Houssam T

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Sep 21, 2023

i want to see my name on this certeficate

创建者 Natalia S

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Feb 25, 2024

no math exercises to practice

创建者 wenyi z

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Jun 28, 2025

suggest don't include code

创建者 Spikey

•

Nov 8, 2022

Oversimplified

创建者 Abhinav S

•

Dec 2, 2022

not good

创建者 Abdulla A

•

Oct 9, 2025

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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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5726 - Supervised Machine Learning: Regression and Classification 的 5750 个评论（共 5,781 个）