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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
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.

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1051 - Supervised Machine Learning: Regression and Classification 的 1075 个评论(共 6,053 个)

创建者 Yubraj T

Oct 28, 2023

Excellent course for the beginners. I learned the mathematics behind the algorithms and also its implementation in python. I want to thank all the team for this wonderful course.

创建者 Krishnam G

Jun 16, 2023

The content never really feels boring at any point. The labs are one of the most organised jupyter notebooks I have ever seen and provides crucial hands-on experience for Python.

创建者 Siraj A

Feb 11, 2023

This is literally a 5 star course. Andrew Ng taught the course with such a ease. He did not rush the course and taught it in very lucid manner. BEST instructor I saw on coursera.

创建者 Vaijanath R

Jan 2, 2023

I loved the step by step training by Andrew. it was an amazing experience. I am going to make sure i will take all the trainings from Andrew only. Superb!!! I am glad I enrolled.

创建者 Sivakumar V

Aug 23, 2022

Very crisp and to the point course material with examples backed by simplistic quizzes and great visualizations in optional labs. Made learning quite straightforward and elegant.

创建者 Alex T

Aug 14, 2022

Finally, this course matched to answer some of my questions I've been wondering about, especially the feature engineering side, and the regularizations. This makes me very happy.

创建者 Shivankit J

Jul 1, 2025

Best course, but please give some real life example projects with these. We are also learning from different sources, but it is easier for beginners if project work is provided.

创建者 Stanislav K

Mar 2, 2025

Really simple course available for everyone with basic math education. Sometimes math tricks are not explained during lectures but you can use any AI to explain them to yourself

创建者 Rashid A S

Aug 9, 2024

Overall, the course was great, but I was frustrated by the lack of a discussion forum. When I had questions, I had to seek answers on ChatGPT or YouTube, which was inconvenient.

创建者 Jowad A

Jul 13, 2024

This course is greatly designed for the newbies of machine learning students. Those who do not have any background knowledge of Mathematics can understand the classes very well.

创建者 Pritam B

Mar 20, 2023

Thanks to instructor Mr Andrew Ng for explaining it in so easy way and presentation. It removes the fear about ML concepts from the mind. Thanks again for sharing the knowledge.

创建者 Maliheh B

Mar 12, 2023

I loved the course. I'm looking forward to model evaluation methods which were not covered in this course and I think will be covered in the second course of the specialization.

创建者 Paul R

Dec 16, 2022

Very good introduction to machine learning. Optional labs are excellents. They helped me to understand more the concepts developed in the course and practice what i've learned.

创建者 Vaibhav C T R

Sep 28, 2022

The course was enough equiped with required amount of knowledge that every one can understand irrespective of where the person stands with respective to knowledge in this field.

创建者 Nudrat H

Sep 19, 2022

the course is exceptional, the professor explained everything well in detail. a little bit of python understanding is mandatory for labs and should be introduced during course.

创建者 Avinav K

May 8, 2025

first I thank coursera for their financial Aid to me , and about the course , I will say that . this was the most engaging course , I attended . Very thankfull for this course.

创建者 Pranav R

Jul 28, 2024

I am very thankful for teachers like Andrew for giving such valuable lesson. It's really inspiring for me and i hope one day i make positive impact on society with my learning.

创建者 ASANG D

Dec 26, 2023

I really enjoyed every last element of this course. The curriculum was very well designed and well paced. I would certainly do more courses offered by this team. Kudos to them.

创建者 Moazzam M

Aug 12, 2023

This course is a big yes for beginners who want to learn Machine Learning and make projects out of it.

Great intructor with providing hands-on experience on different ML models.

创建者 Soheil L

Jun 25, 2023

It should have been so much better if the instructor would show the codes and explain them while teaching the concept. But all in all, it was great and I learned a lot from it.

创建者 Vivek K N

Sep 2, 2025

One of the best Machine Learning Course. Andrew Ng method of teaching help me understand all the underlying logic and have boosted me to explore this dynamic field a lot more.

创建者 Joshua Z

Aug 2, 2025

Absolutely phenomenal course! This is exactly what I need. Had to put a lot of effort into understanding the concepts and the fundamentals of the code, but its 1000% worth it.

创建者 Bertrand R

Nov 28, 2024

The material is very well presented and explained, at a slow pace that allows the students to develop some solid intuition about the concepts and techniques. Thank you Andrew!

创建者 André M

Aug 26, 2024

Curso Muito Bom, os Labs complementam bem as teorias que de estatística que são dadas nas aulas, apenas senti falta de vídeos de programação, mas os labs são bem explicativos!

创建者 Nadeesha S

Jun 30, 2024

I love this course, This helped me a lot in understanding my final year project. Thank you so much team and I highly appreciate this effort you have put to create this course,