Name: Supervised Machine Learning: Regression and Classification
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (6087 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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32,299 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....

6001 - Supervised Machine Learning: Regression and Classification 的 6025 个评论（共 6,081 个）

创建者 guy h

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Aug 31, 2025

spoon feed you too much compared to other coursera courses

创建者 Ganesh K

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Jul 25, 2023

Course is good but lab assignments and exercises are less.

创建者 shivam s

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Feb 26, 2023

Should also some small projects for better understanding!

创建者 Anirudh S

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Sep 20, 2025

Asking for upgrading but got it from financial aid still

创建者 feeZ

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Sep 25, 2024

it would be better if there were more coding experiment.

创建者 Mohamed a a

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Jul 23, 2023

good course but i wish it was more project oriented

创建者 G G D

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Jun 14, 2025

Good could have added evaluation metrics

创建者 kunal s

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Jun 12, 2023

please include projects in this course.

创建者 Boris A

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May 26, 2023

A lot of theory and a bit of practice

创建者 Nooreldin N

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Jun 20, 2025

It needs more practical exercises.

创建者 Muhammad U A

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May 21, 2025

kind a slow and not interesting

创建者 Josep B P

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Dec 30, 2023

Step down from the old course.

创建者 NITHISH K

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Jun 29, 2025

the recorded video looks old

创建者 Islam I

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Nov 8, 2024

Concept Only no Beyond that

创建者 Sepehr

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Mar 7, 2024

Easy to follow but useful.

创建者 Fernando B

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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

•

May 21, 2024

too fast

创建者 Kushagra G

•

Oct 14, 2024

decent

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

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6001 - Supervised Machine Learning: Regression and Classification 的 6025 个评论（共 6,081 个）