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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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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：

4851 - Supervised Machine Learning: Regression and Classification 的 4875 个评论（共 5,920 个）

创建者 john_ d

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Apr 16, 2025

exceptional

创建者 MD. N H J S 2

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Apr 4, 2025

Best course

创建者 Mudit C

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Mar 23, 2025

Amazing !!!

创建者 ASHWANTH S K C

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Jan 22, 2025

best course

创建者 Aneesh P

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Dec 21, 2024

Really good

创建者 Pradeep Y

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Dec 8, 2024

very helpul

创建者 Prathmesh K

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Nov 18, 2024

best course

创建者 Hamza S

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Nov 4, 2024

Good course

创建者 Prathamesh P

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Oct 31, 2024

Nice cource

创建者 Azlan M

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Oct 11, 2024

very helful

创建者 Anne S

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Sep 23, 2024

Exceptional

创建者 CHITTA A

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Sep 22, 2024

Interesting

创建者 MEEGADA S R

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Aug 16, 2024

nice course

创建者 Gabriel V M

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Jul 30, 2024

Excellent!!

创建者 Asad H

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Jul 17, 2024

Good course

创建者 Amir R M F

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Jul 7, 2024

Excellent!!

创建者 Jonh V A

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Jul 1, 2024

good course

创建者 SAMEER T (

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Jun 3, 2024

good course

创建者 sachin k

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Mar 12, 2024

good course

创建者 Giancarlo V

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Jan 30, 2024

Beautiful!!

创建者 Zain U A

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Jan 24, 2024

Best Course

创建者 sohaib

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Jan 6, 2024

nice course

创建者 Nilesh P

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Dec 17, 2023

Best course

创建者 Gorge V

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Nov 26, 2023

Really cool

创建者 Agustin R

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Oct 22, 2023

great start