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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

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

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：

4401 - Supervised Machine Learning: Regression and Classification 的 4425 个评论（共 5,923 个）

创建者 Vandyck A

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Nov 9, 2024

Excellent content!

创建者 Alikana A

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Oct 8, 2024

THANKS TO COURSERA

创建者 Ais K

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Sep 15, 2024

thanks to coursera

创建者 S G

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Sep 7, 2024

Excellent teaching

创建者 Talha A

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Sep 6, 2024

ı love this course

创建者 Hongfei Z

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Aug 27, 2024

helpful and useful

创建者 Mayank R

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Jul 30, 2024

very helpul course

创建者 Abhinav P

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Jul 21, 2024

Simple and perfect

创建者 Alexander S

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Jun 16, 2024

Greatly explained.

创建者 Mark A

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Jun 11, 2024

Full of excellence

创建者 Enoch B

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Apr 11, 2024

very comprehensive

创建者 Bidur W

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Feb 13, 2024

very nice material

创建者 Valentin B

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Jan 21, 2024

Pretty cool course

创建者 akash p

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Jan 10, 2024

exceptional course

创建者 Pratyush S

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Nov 2, 2023

beautifully taught

创建者 Shawon T J

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Oct 25, 2023

Extraordinay Class

创建者 Yaw G

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Oct 4, 2023

Great presentation

创建者 Ritu D

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Sep 13, 2023

Very useful course

创建者 Kondwani M

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Aug 23, 2023

Excellent material

创建者 Ali A

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Jul 22, 2023

A wonderful course

创建者 Samy M (

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Jul 6, 2023

very useful course

创建者 Huỳnh T T

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Apr 16, 2023

Good for beginners

创建者 Ashutosh B

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Mar 13, 2023

Best for beginner.

创建者 Minh T D

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Feb 28, 2023

Great introduction

创建者 SADEEM A N A

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Dec 12, 2022

good Learning

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