Name: Supervised Machine Learning: Regression and Classification
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (6060 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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32,078 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....

4001 - Supervised Machine Learning: Regression and Classification 的 4025 个评论（共 6,053 个）

创建者 Maulaya R

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May 20, 2023

Very good mathematical approach

创建者 Ragul A

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Apr 9, 2023

Very useful, Easy to understand

创建者 Jihan K

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Mar 22, 2023

Complex but interesting course!

创建者 Luc B

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Jan 22, 2023

Super formation ! Je recommande

创建者 Vadim P

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Jan 7, 2023

Great course, highly recommend.

创建者 Abhay K

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Dec 26, 2022

I love Andrew NG teaching style

创建者 Ella N

•

Nov 18, 2022

simple and fun, smart and clear

创建者 Shuo L

•

Nov 17, 2022

The explanation is super clear.

创建者 Milos I

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Nov 16, 2022

Best specialization on coursera

创建者 Vincent C

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Nov 5, 2022

Tremendous course thanks a lot.

创建者 Hamidreza M

•

Oct 17, 2022

It was a really useful course.

创建者 Sayak H

•

Oct 5, 2022

excellent and easy explanation

创建者 gautam g

•

Jul 23, 2022

Excellent course for beginner.

创建者 PhucVTHE161744

•

Jul 12, 2022

Super useful for beginner in AI

创建者 maleeha

•

Nov 14, 2025

Excellent course for beginners

创建者 Haouchine Y

•

Jan 4, 2025

Excellent course for beginners

创建者 Syed W B U

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Dec 15, 2024

Nice course start is difficult

创建者 Amir K

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Sep 11, 2024

Excellent course for beginners

创建者 Nima R

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Aug 12, 2024

It's good course for beginners

创建者 Roaa M

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Aug 4, 2024

Very good, fun and very useful

创建者 Chakradhar S

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Jul 26, 2024

excellent profound and amazing

创建者 HASANCAN A

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Jul 14, 2024

Excellent and perfect course .

创建者 Arshdeep K

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Jun 25, 2024

Everything was well explained.

创建者 RATHOD Y A

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Jun 11, 2024

it is a nice and very helpfull

创建者 KY

•

May 2, 2024

best explanation, best teacher

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

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4001 - Supervised Machine Learning: Regression and Classification 的 4025 个评论（共 6,053 个）