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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
31,265 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

JG

Apr 26, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

ED

Apr 13, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

筛选依据:

1526 - Supervised Machine Learning: Regression and Classification 的 1550 个评论(共 5,921 个)

创建者 Five A

Aug 9, 2023

This is a very good introductory machine learning course, and I am very grateful to the website side for the scholarship program!

创建者 Venkata R K S V P 2

Jul 29, 2023

I haven't seen this type of explaination and also this type of course anywhere else. Thank you Deeplearning AI and Andrew Ng Sir.

创建者 Ben H

Jun 7, 2023

Fantastic course that teaches the fundamentals of classification and regression using linear and logistic regression as examples!

创建者 Chajin O

Dec 8, 2022

It was a lecture that clearly organized the artificial intelligence that I had learned so far.

Thank you to those who prepared it.

创建者 JIAN H

Aug 25, 2022

Very good course, very suitable for beginners, especially the use of python makes all the concepts can be more clearly understood

创建者 Derpmaiden A

Jun 27, 2022

Excellent explanation of the subject materials. A very good starting point to develop intuition on key machine learning concepts.

创建者 Davi W M

Jun 21, 2022

If you are new in the world of ML, here is where you begin your journey. Thanks Andrew Ng and Coursera for this amazing course :)

创建者 Prodige P J

Feb 17, 2025

Le cours est excellent, bien détaillé et en respectant les consignes on acquiert les bases qu'il faut en apprentissage supervisé

创建者 Huy N L

Sep 28, 2024

This course is equivalent to 4 months of my self-learning, and it's a great starting point if you want to learn machine learning

创建者 Alfredo J L F

Sep 1, 2024

Excelente. Muy bien diseñado, muy cercano a la persona que inicia en el área, y no es abrumador desde los conceptos matemáticos.

创建者 Nandan B

Jun 23, 2024

This course is just what I needed as a beginner in the field of Machine Learning. Highly recommended for all the ML enthusiasts.

创建者 Guhan S

May 4, 2024

Amazing teacher literally answered all my doubts without ever asking me his understand is tremendous and an amazing tutor indeed

创建者 TOBESHO

Apr 28, 2024

it is way to easy to understand and navigate through , wich there was more labs to practice on . but everything else is top tier

创建者 Amine ( S

Jan 2, 2024

The way Andrew explaining is just super quality , the labs are a very good tool to get the intuition , over all great experience

创建者 Sujeet G

Jul 25, 2023

This course helped me as a beginner in the machine learning field. It covers every basic concept of Supervised Machine Learning.

创建者 Pablo M - A G ( 4 8 M

Apr 20, 2023

Great course. I like that the instructor takes the time to discuss the math behind the regression and classification algorithms.

创建者 Neeraj M A

Feb 13, 2023

Assignments could be a little bit less guided, I think. The text instructions are fine but very little code needs to be written.

创建者 Piyush K

Dec 5, 2022

Very well-structured and informative course. The intuition-based teaching and interactive python notebooks boost learning a lot.

创建者 Jayneisha H

Oct 31, 2022

It was a great course. I really enjoyed it. Professor Andrew does a great job of explaining concepts and I love his enthusiasm.

创建者 Mangesh W

Aug 27, 2022

It is really a good journey. Really a good course. The way concepts were explained with help of 3D visualization is appreciated.

创建者 SOWMYA G

May 30, 2025

I personally really liked the concept explaination and examples . And lab part so relevant and precisely divided course content

创建者 Malav M

Apr 3, 2025

Its been very nice course. Concepts are very much clear. By learning fundamentals we can work on projects. Thanks to Andrew Ng.

创建者 Harish I

Dec 30, 2023

Excellent. It's a treat to hear from Andrew Ng, and the labs and assignments are very helpful in understanding how things work.

创建者 Sapphire A G

Dec 20, 2023

Fantastic course, but I did struggle a lot with the python coding. I would highly recommend learning that prior to this class!!

创建者 Hugo A

Feb 28, 2023

Sometimes skips over important math and context but it gets the viewer to experience the libraries and a successful ML process.