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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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31,343 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：

3801 - Supervised Machine Learning: Regression and Classification 的 3825 个评论（共 5,935 个）

创建者 Ho M D

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Aug 1, 2025

Perfect start for machine learning

创建者 JW

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Jun 25, 2025

Excellent Machine Learning Course!

创建者 Suhaib V

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May 29, 2025

I gained many knowledge, Thank You

创建者 Anshuman N

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Mar 21, 2025

Very Good beginner friendly course

创建者 Ibrahim K

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Dec 23, 2024

Amazing explanations and breakdown

创建者 Gajendra K .

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Dec 18, 2024

Teaching method is very excellent.

创建者 Bách C V

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Sep 11, 2024

This course is beginner friendly !

创建者 Harihara s R

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Aug 24, 2024

very helpful thanks for the course

创建者 pritam d

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Aug 17, 2024

Great course. I have learnt a lot.

创建者 Abigail L

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Jul 28, 2024

老师讲得非常好，有趣生动，对我学习机器学习入门帮助真的很大，受益匪浅

创建者 Flávio N

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Jun 20, 2024

Excelente conteúdo, otima didatica

创建者 Saagar T

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May 29, 2024

Perfectly paced and soft lectures.

创建者 Mayank G

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May 19, 2024

Thanks For Delivering Good Content

创建者 Robert P

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May 16, 2024

A good start for my learning plan.

创建者 Yousef A

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Feb 26, 2024

very great course so much to learn

创建者 William T

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Dec 19, 2023

Much better vs the old Octave days

创建者 Pruthviraj C

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Dec 3, 2023

Best! can't expect more than this!

创建者 YALALA V V

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Nov 23, 2023

Excellent course and explanation!!

创建者 Tikhon B

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Nov 12, 2023

Amazing and easy to follow course!

创建者 Janine S

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Oct 25, 2023

Very clear teaching style and pace

创建者 Neeraj K

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Sep 25, 2023

Well taught and structured course.

创建者 Mateusz

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Sep 19, 2023

Really well prepared and executed.

创建者 praveen n

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Aug 28, 2023

Easy explanation of complex topics

创建者 Soumya P

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Jul 17, 2023

Good to have initial understanding

创建者 Aryaman P

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Jul 1, 2023

Mind Blowing experience altogether