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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
31,366 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:

2476 - Supervised Machine Learning: Regression and Classification 的 2500 个评论(共 5,940 个)

创建者 Ronald P T R

Jul 7, 2024

Por el contenido, la exposición, los laboratorios de algoritmos con Python

创建者 Ryoko R

Apr 3, 2024

It is challenging content for beginners but a precious learning experience.

创建者 Elisa G A

Nov 16, 2023

Curso fácil de seguir y muy cuidado en el orden. Contenido muy interesante.

创建者 VARUN G 1

Sep 6, 2023

Excellent course that provides an in-depth knowledge on supervised Learning

创建者 Sinan K

Aug 14, 2023

Very easy to understand hence welcoming for those who are new to the field.

创建者 Alvi A

Aug 8, 2023

Best online course on machine learning one can finish it on their own pace.

创建者 Pola E

Aug 4, 2023

It, was really helpful and well prepared. The best Machine learning course.

创建者 Mohammadreza G

May 31, 2023

I learned more than I expected from this course. I strongly recommended it.

创建者 Ankit P

May 15, 2023

Exceptional Very Intuitive and Informative Great tutoring to build Concept

创建者 Tiruzer T

Mar 15, 2023

It was just perfect. Andrew did a perfect job simplifying complex concepts.

创建者 Vitalii M

Mar 13, 2023

Gives well-rounded intuition about the Regression and Classification tasks.

创建者 Scaria M

Oct 29, 2022

This is an excellent course for beginners with explanation of every point

创建者 Deleted A

Oct 15, 2022

This course helps me to understand the basic of machine learning algorithm

创建者 Hafsa K

Sep 8, 2022

a good course to review ML basic principles and maths behind it . Thank you

创建者 Abhilasha O

Aug 16, 2022

This is the best Machine Learning Course I've had the pleasure of studying.

创建者 zetao l

Jul 25, 2022

The course is easy to follow, and the coding assignments are well designed.

创建者 José A M

Jun 26, 2022

Great to learn machine learning foundations without any previous knowledge.

创建者 Michael J

Jun 23, 2022

THE Gold standard in terms of courses you can find for Machine Learning...

创建者 Geraldine F L

Dec 14, 2025

Amazing course so clear and precise and easy to learn. Thanks a lot Andrew

创建者 Avi G

Nov 1, 2025

The course was excellent, though the audio quality could have been better.

创建者 Ritik G

Oct 24, 2025

Amazing explanation of each topic, in depth knowledge and quality content.

创建者 Niladri S

Oct 8, 2025

it was very beginner friendly and the concepts were clearly understandable

创建者 Vinay S

Sep 1, 2025

Highly recommended course who want to understand basic of machine learning

创建者 Gabriel R

Jul 21, 2025

Excelente curso para comenzar a incursionar en el area de machine learning

创建者 VarunRaj

Jun 22, 2025

thank you for aid coursera has no idea for much i liked it thank you again