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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
32,070 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:

776 - Supervised Machine Learning: Regression and Classification 的 800 个评论(共 6,053 个)

创建者 Tharindu M W

Jan 3, 2024

Exceptional learning experience! The material was presented with great clarity, making it easy to grasp. The instructor's teaching style was effective and engaging. Highly recommend to anyone who interested to learn AI and ML

创建者 Nikola J

Aug 27, 2022

Amazing course. I've taken several ML and deep learing course as a graduate student in CS and none was as useful as this one. The course is down-to-earth but covers all the relevant topic and emphasizes practical application.

创建者 Divyesh S

Jun 26, 2022

I really like this course . The course is very interactive . Andew sir and team did a fabulous job explaining each and every concept of classification and regression very intuitively. Thank you so much Andrew sir and the team

创建者 Juan P B

Aug 13, 2023

The structure of the course as well as its teacher are exceptional, until now I have not found any course that explains the bases and fundamentals in such a clear and precise way (which I personally consider very necessary).

创建者 omar s

Aug 7, 2022

I was doing another courses in machine learning and on those courses I never knew what I was doing, if you want to learn whats happening under the hood of those machine learning libraries in python this is the course for you

创建者 Areeba K

Nov 2, 2025

This course offers a teaching style I've never seen before. The explanation are so clear and detailed that they helped me understood every concept deeply. It completely changed the way I think about AI and its capabilities.

创建者 Om U s

Jan 2, 2025

It was just the best i expected, easy to comprehend, contains enough food for my brain to think about and just the best to begin with. The fifth star is for the video featuring the two pioneers of AI at Stanford. Inspiring.

创建者 Mati V

Apr 12, 2024

Thanks to every Professor for this amazing and high-quality content! I am a Telecommunications Engineer willing to transition to the AI world! Greetings from Argentina! And desiring to start a PhD in Electrical Eng. as well

创建者 Mookalanyaye R T R

Dec 20, 2023

No words to say. Professor Andrew Ng. is the best teacher on the planet. I love him. Thank you sir for your dedication and organization of this amazing course. My Love and respect again and again !!!!!!!!!!!!!!!!!!!!!!!!!!!

创建者 Akshaj J

Aug 18, 2023

I really enjoyed studying this course It was very well explained, the best part for me was the optional labs where we could play around with values and diagrams to understand how the concept works and mess around with code.

创建者 Thanh D N

Jan 1, 2023

Unlike other courses I have taken, Andrew explained very clearly the underlining math and motivation of basic models like Linear/Polynomial Regression and Logistic Regression. He also explained the regularization very well.

创建者 Qiuran W

Sep 13, 2022

This course serves as a very good start for people who want to study machine learning. It is easy to understand, and all the assignments and labs a very helpful in both learning the basics of regression and thost of python

创建者 Ronak P

Jul 26, 2022

Excellent course for candidates who wish to start their journey in the field of data science and machine learning. And Andrew NG sir hates off to you. Thank you for preparing such a wonderful course amid your busy schedule.

创建者 Benjamin M

Aug 8, 2024

Thank you to Andrew Ng and Stanford University for this amazing course. Despite being in 8th grade, I found the explanations clear and engaging. This course pushed me to learn advanced math, and I'm very grateful for that.

创建者 Ertugrul E

May 6, 2024

An invaluable resource to take a first step into ML and AI. It would be very beneficial to have prior knowledge about AI and ML to be able to fully understand and grasp the logic and knowledge behind videos and exercises.

创建者 Santhosh S

Jul 25, 2023

Started with Zero prior knowledge about ML and with Basics of python & libraries like numpy , pandas, Matplotlib . I find the way course is structured to be astonishingly beginner friendly. Starting my ML Journey from here

创建者 Ayan G

Sep 24, 2022

One of the best introductory courses for machine learning that i could have enrolled in. Andrew Ng is no talented like he made machine learning and the maths related to it so easy that i did not have to memorise anything.

创建者 Aalokit “ B

Mar 18, 2025

i have a problem i applied the financial aid for this specialization of machine learning but i get financial aid for course 1 only and now i also don't see any financial aid option on other courses as well ... please help

创建者 Tertuliano F

Jan 2, 2023

Curso muito bom! Como sugestão só teria que ter tido mais aplicabilidade em diferentes áreas como naturezas, ciências humanas e etc. Acredito que isso pode motivar pessoas de diferentes áreas a se motivar com esse mundo

创建者 James W

Sep 3, 2024

I wanted to get a good understanding about what AI and Machine Learning is, this course provides the foundations and the mathematical understanding for machine learning algorithms and using data sets to make predictions.

创建者 Bansari K

Jun 19, 2023

It was an exceptional course. Everything was up to date, and if I were to talk about the theories and the slides, presentation and especially Mr.Andrew Ng, it was remarkably excellent. I cannot thank him enough for this.

创建者 Kirubhakaran M S

Sep 1, 2022

This course was really interesting and curated with an introduction on basic ML concepts using simpler math and various interactive and insighful visualizations, followed by optimizing the computations using programming.

创建者 Pranab N D

Oct 29, 2025

Best course and the teaching of Andrew Ng is very focused and well understandable. Everyone must go through this course before jump to any ML assignment, this course creates a solid foundation on ML. Thank you Andrew Ng

创建者 ayoub m

Dec 25, 2024

A great introduction to machine learning and its algorithms, suitable for all learners and doesn't required you any high programming skills. Thanks a lot to Andrew Ng for providing such an amazing source of information-

创建者 Chirag G

Jun 16, 2023

Andrew ng is definitely one of the best teachers of machine learning and data science. I would suggest anyone who is watching the lecture series to also read ISLR along with the lectures. It would immensely benefit you.