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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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32,311 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

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.

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.

筛选依据：

2101 - Supervised Machine Learning: Regression and Classification 的 2125 个评论（共 6,083 个）

创建者 Mersibon M M

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Jan 14, 2023

What an amazing course. You are an extraordinary person. Thank you for giving me this chance.

创建者 Rajasekhar R P

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Dec 27, 2022

This course was helpful to get started with deep learning. Thank you coursera for finacial aid.

创建者 ASHUTOSH S

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Dec 5, 2022

This course provides an in depth knowledge on Regression models and their real time appication

创建者 Swathi

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Nov 21, 2022

Explanation was really good, understood every bit and optional lab was bonus for implementation

创建者 王奕翔

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Oct 23, 2022

Though I had learned a similar course before, I feel this one systematic and benefit me a lot.

创建者 Muhammad K H

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Sep 29, 2022

Such an awesome course, really helpful and well organized, easy to follow and highly valuable.

创建者 Maxim K

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Aug 11, 2022

Really helped me get a foundational knowledge behind the methodologies used in machine learning

创建者 Pathivada B R

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Aug 6, 2022

very useful covered all the basics required for regression including cost functions and scaling

创建者 Dr. M S

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Jul 10, 2022

Awesome Course. Andrew Ng has been awesome with his teaching & explanations.

Good exercises too.

创建者 Baki G

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Jul 3, 2022

Andrew, you are a great teacher. I wish all my teachers were like you when I was at university.

创建者 Daniel F

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Jun 29, 2022

Really good introductory course, that in my case helped me to refresh machine learning concepts

创建者 Aditya R

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Jan 31, 2025

One of the best course till now that I have studied Complex problems explained in so easy way

创建者 Erick S P

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Jan 18, 2025

Very insightful course and well taught too. Looking forward for the next course of the series.

创建者 Simon G

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Oct 14, 2024

Really good introduction to ML regression and classification, with just enough math and coding

创建者 priya k

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Oct 1, 2024

It is helpful if you want to learn machine learning even if you don't have a Maths background.

创建者 Dev k A

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Aug 24, 2024

It is very good course because it is very nicely building the thinking of students in concepts

创建者 Manh T

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Jul 12, 2024

Amazing, Math is the core of ML, and you have explained it in an easy way for me to understand

创建者 Moahk O

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Mar 24, 2024

I love it, it has given me a good start and foundation to becoming a Machine Learning Engineer

创建者 bibhu b

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Feb 19, 2024

Andrew Ng is an exceptional educator. He makes complicated subjects very simple to understand.

创建者 Jawad H

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Feb 18, 2024

Andrew Ng is a great instructor. The way he teaches makes learning new things a piece of cake.

创建者 Luis D B

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Dec 6, 2023

The content is well organized, and the materials developed for the course are of high quality.

创建者 Wakash

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Sep 14, 2023

Every AI aspirant must take this course as their first step into the world of machine learning

创建者 Ryan H

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Jun 21, 2023

Excellent. The instruction provided and exercises were all concise but didactically effective.

创建者 Aditya A

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Jun 17, 2023

amazing course helped me learn regression and classification very well and cleared my concepts

创建者 Hamza B

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Mar 11, 2023

this course was soo good and clear and explain how machine learning works behind the scene 5/5