Name: Supervised Machine Learning: Regression and Classification
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (5940 reviews)

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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

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31,343 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....

3851 - Supervised Machine Learning: Regression and Classification 的 3875 个评论（共 5,937 个）

创建者 Eranda J

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Apr 23, 2024

Great course. Highly recommended.

创建者 ANINDYA M

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Jan 24, 2024

A great course to kick off the ML

创建者 Quynh A N

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Dec 22, 2023

Great course, easy to understand!

创建者 JL

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Nov 29, 2023

easy to understand all the things

创建者 Jin

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Nov 3, 2023

Great learning materials! Thanks!

创建者 Vishal K G

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Oct 14, 2023

loved it.. very nice explanation.

创建者 Fahrul A N

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Oct 5, 2023

Andrew Ng is the best instructor!

创建者 Mohit K

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Sep 13, 2023

The Way of explaining is too good

创建者 Tiong W

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Aug 26, 2023

help to build my basics stronger.

创建者 Everton D

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Aug 15, 2023

Difficult but excellent course!!!

创建者 Muttakin K

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Aug 12, 2023

A very good course for begineers.

创建者 Emin A

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Jul 29, 2023

very entertaining and educational

创建者 Hemanth S

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Jul 17, 2023

Best Course for Machine Learning.

创建者 PRAVEEN S

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Jun 5, 2023

An excellent introductory course.

创建者 Jean F

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Apr 14, 2023

Great course, highly recommended.

创建者 Cuong P C

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Feb 25, 2023

Thanks for the great instruction.

创建者 Long T B

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Dec 28, 2022

Andrew is the best ML instructor.

创建者 Rameez A

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Dec 25, 2022

Knowledge gained is just Amazing.

创建者 Onwunyi C

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Oct 18, 2022

Wonderful and challenging course

创建者 Debi R

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Sep 29, 2022

it is the course for everyone...

创建者 Meysam M

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Sep 27, 2022

I appreciate it. It was awesome.

创建者 Yugal K

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Aug 16, 2022

Very informative and interactive.

创建者 Julio A L C

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Aug 6, 2022

Lovely course, I learned so much!

创建者 Birhanu G

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Aug 2, 2022

Best course for machine learning.

创建者 Syed A n

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Jul 24, 2022

Very Clear and in depth learning.

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

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3851 - Supervised Machine Learning: Regression and Classification 的 3875 个评论（共 5,937 个）