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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!!

筛选依据：

4651 - Supervised Machine Learning: Regression and Classification 的 4675 个评论（共 5,921 个）

创建者 Abhay P

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Mar 7, 2024

really helpful

创建者 Arkadiusz J

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Mar 5, 2024

Thank you ! :)

创建者 Thiago T d S

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Feb 17, 2024

Great Material

创建者 Bakhtiyor

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Dec 30, 2023

awesome course

创建者 HIMANSHU B 2

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Dec 26, 2023

awesome course

创建者 Souvik M

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Dec 10, 2023

Great Learning

创建者 Md A I

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Nov 26, 2023

Helpful Course

创建者 Nitin W

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Nov 21, 2023

Amazing Course

创建者 Anass A

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Nov 15, 2023

really amazing

创建者 jony k

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Oct 27, 2023

very very good

创建者 Айнур Д

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Oct 23, 2023

Полезный курс!

创建者 Cheater F

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Aug 23, 2023

great Courses.

创建者 Nithin B

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Aug 22, 2023

well explained

创建者 Soumit R

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Aug 13, 2023

Best ml course

创建者 Mohammadreza J J

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Jul 15, 2023

I'm so excited

创建者 saparapu r

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Jul 4, 2023

corse was good

创建者 Vũ H

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Jun 26, 2023

Excellent!!!!!

创建者 SUBRATA M

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Jun 25, 2023

very very good

创建者 Satish s M

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Jun 15, 2023

very effective

创建者 legendsof c

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Jun 12, 2023

Very helpful ♥

创建者 Deleted A

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May 30, 2023

awesome course

创建者 Aisha A

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May 29, 2023

Amazing course

创建者 Prasanth K A S

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May 8, 2023

awesome course

创建者 George F

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May 7, 2023

thank u Andrew

创建者 Yvan P

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Apr 16, 2023

the best intro