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学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

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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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4476 - Supervised Machine Learning: Regression and Classification 的 4500 个评论（共 5,921 个）

创建者 ehsan k

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Oct 6, 2022

Simply the best!

创建者 GU F

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Sep 17, 2022

nice for freshman

创建者 Samarth C

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Aug 27, 2022

Very nice course.

创建者 Florence P

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Jul 10, 2022

Very well taught!

创建者 LIKITHA C B 2

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Jul 6, 2022

Very informative!

创建者 Hritik A

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Jun 30, 2022

Very Nice Content

创建者 Fernando A

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Jun 28, 2022

Excellent course!

创建者 Mavani N R

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Nov 5, 2025

excellent cource

创建者 Anita G M ( R - H G M

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Nov 3, 2025

Excellent course

创建者 Deleted A

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Sep 21, 2025

excellent course

创建者 Rohit I

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Sep 18, 2025

good information

创建者 Quốc V P

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Sep 2, 2025

Cam on rat nhieu

创建者 Raksha C C

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Aug 12, 2025

very nice course

创建者 Zineb H

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Aug 11, 2025

very good course

创建者 Bhavy R

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Jul 28, 2025

very good course

创建者 Rajvardhan S

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Jul 15, 2025

fantastic course

创建者 Omelian

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Jun 15, 2025

best course ever

创建者 Ilyas N

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Jun 11, 2025

very good course

创建者 AKSHAT K

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May 4, 2025

Very good course

创建者 Timileyin D

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Apr 14, 2025

Excellent course

创建者 Farhan A

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Apr 1, 2025

Excellent course

创建者 smartcast C

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Dec 28, 2024

Best course ever

创建者 Divya S

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Nov 16, 2024

excellent course

创建者 Aya B

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Nov 3, 2024

tres interessant

创建者 Antoine L N

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Oct 10, 2024

Excellent Course