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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!!

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1551 - Supervised Machine Learning: Regression and Classification 的 1575 个评论(共 5,921 个)

创建者 Briant J C

Jan 17, 2023

Thank you for this fantastic course. The interactive and visualizable optional labs were unique for understanding the concepts.

创建者 Behnaz S

Jul 23, 2022

i have learnt a lot from this course. your way of teaching these new subjects, has made me eager to learn more an more about ML

创建者 Christine Z

Jun 30, 2022

Love it! Even the math parts are easy to follow! However, the Labs are a little bit overwhelming especially at the beginning ;p

创建者 Sarath K

Apr 7, 2025

Balanced explanation which includes mathematics,coding and concepts But should have included other machine learning algorithms

创建者 Tiago R

Feb 21, 2024

It was a great course. It allowed my to refresh and solidify my knowledge. Would recommend to anyone who's starting out in AI.

创建者 Brannon O (

Jan 31, 2024

Andrew Ng is a monster! If you're into AI - ML/DL, then you will surely have to take all of these courses from DeepLearning.AI

创建者 Bishal S

Jan 19, 2024

Excellent course with great explanation by the proffesor. Optional Labs are highly useful to solidify the knowledge. Thank you

创建者 Ibad D

May 8, 2023

Well structured course. More hands on programming assignments may be added to explain the various libraries used may be added.

创建者 Patrick L

Feb 23, 2023

Very good introduction to machine learning with focus on linear and logistic regression. The lectures and the labs look great.

创建者 Meghna P

Dec 25, 2022

Its an excellent course, very interesting and the integrated labwork in jupyter notebook makes it easier for non programmers.

创建者 umbrella

Oct 11, 2022

The course content is very detailed, and the practice after class is also very helpful. I hope it can be subtitled in Chinese.

创建者 Kunal

Oct 7, 2022

It's a best beginner course for non ML learner. Andrew just nailed every lecture by giving corresponding real world cenarios

创建者 Richard H

Apr 7, 2025

Beyond compare. This teaches the math behind the self-taught AI/ML code we all see in github and that ai can complete for us.

创建者 Arya S

Dec 8, 2024

For a high schooler like me, this is a fantastic introduction to the world of machine learning. Many thanks for your support.

创建者 Ashmith R

Jul 8, 2024

Just finished the first course & trust me it was the best structured and taught course on the planet for ML, props to Andrew!

创建者 Aayush R B

Jun 20, 2024

Learnt a lot from this course, Andrew Ng is just amazing at explaining even difficult concepts in a easy to understand manner

创建者 Paul O

Jan 31, 2024

I like Andrew's method of teaching. I get to learn the theory first, then apply it in the labs using code and visualizations.

创建者 Mei A

Aug 7, 2023

good course elaborate everything very well I love this teacher and thanks to Coursera to let me be free to learn this course

创建者 Sandile T

Jul 27, 2023

Learning Regression and Classification at a scientific level from the subject matter expert, coupled with real life projects.

创建者 Silvano M

Apr 3, 2023

Excellent course to start learning Machine Learning step by step with examples and exercices to understand better the meaning

创建者 Mohammadreza R

Mar 9, 2023

Wonderful instructions. Although I think its better to try the codes on a real dataset instead of made up numbers. Thank you.

创建者 SAMPRETH S

Oct 27, 2022

An excelent course covering the basic concepts regarding machine learning without much fuss about the mathematics behind it.

创建者 ghazal g

Oct 12, 2022

thank you very much for this wonderful course, i'm so greatful for the teacher, his information and his way in presentation.

创建者 Devender S

Sep 18, 2022

World's finest course of Machine learning. Highly recommends you to start your journey into the world of machine learning.

创建者 Mhretaab B

Mar 1, 2025

It is phenomenal. The course is designed in a way that even a student who has forgotten advanced mathematics can understand.