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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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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.

筛选依据：

2901 - Supervised Machine Learning: Regression and Classification 的 2925 个评论（共 6,053 个）

创建者 Rafiur R S

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Dec 23, 2023

very good course ,really helped me understand the basic of ML

创建者 DAVID F

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Dec 2, 2023

pretty easy to be followed. great enthusiasm of the proffesor

创建者 T S K

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Nov 1, 2023

This is the best course for learning Machine Learning so far.

创建者 ROUNAK R

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Sep 14, 2023

A great course to start of for the basics of machine learning

创建者 Abhishek T

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Sep 8, 2023

very well designed labs for developing intuition. Great work!

创建者 Julien C

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Aug 1, 2023

By far the best online course I have been taking to this day!

创建者 Duc G

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Apr 11, 2023

Good job at explaining these concepts. Thanks, AI pioneer! :D

创建者 Suryateja K

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Mar 18, 2023

It Would be Great if we Have like Practice with Real Datasets

创建者 Mazen S

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Mar 18, 2023

light on coding, but amazing foundation for machine learning.

创建者 Wahidul A R

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Dec 18, 2022

The best Supervised Machine Learning course I have ever done!

创建者 Diego C

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Jul 25, 2022

Very good introduction course. Easy to follow and understand.

创建者 akhilesh K

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Jul 19, 2022

simply the best.much better than old MLS for obvious reasons.

创建者 Ricky T - E

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Jul 7, 2022

Enjoying it so far. Can't wait to finish the specialization.

创建者 Jinlong H

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Jun 18, 2022

very useful! Prof. Andrew Ng is absultely a great educator.

创建者 Tina K

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Oct 7, 2025

it was the best online course I have ever had. Thanks a lot.

创建者 Azizul H c

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Apr 5, 2025

It was detailed and well explained. Enjoyed every bit of it.

创建者 Vinoth V

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Mar 12, 2025

Very easy to understand, all credits my professors andrew ng

创建者 Kabita D

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Feb 17, 2025

This course has a good pace increasing complexity gradually.

创建者 Arpit K

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Jan 13, 2025

Beautifully explained, calm and slowly understood everything

创建者 Sebona W

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Oct 31, 2024

Its beginner friendly course and best course I've ever found

创建者 Syed M M T

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Oct 18, 2024

you all are the best. THANK YOU SO MUCH, i learnt a lot here

创建者 Kartik A

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Aug 7, 2024

It thoroughly explains the fundamentals of machine learning.

创建者 Ashwin A

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Jul 21, 2024

Excellent content, thoroughly understood whatever was taught

创建者 AyFait S

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Jul 15, 2024

I'm really grateful to Deeplearning.ai and Coursera for this

创建者 Minh T

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May 15, 2024

straight-forward, detailed lectures with implementation code