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学生对 DeepLearning.AI 提供的 Advanced Learning Algorithms 的评价和反馈

4.9
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8,631 个评分

课程概述

In the second course of the Machine Learning Specialization, you will: • Build and train a neural network with TensorFlow to perform multi-class classification • Apply best practices for machine learning development so that your models generalize to data and tasks in the real world • Build and use decision trees and tree ensemble methods, including random forests and boosted trees 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 theoretical 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

AA

Dec 29, 2024

The course provides an excellent introduction to widely used machine learning concepts, including Neural Networks. While the material can be challenging, it is presented in a digestible manner.

MN

Jul 29, 2023

Another fantastic course by Andrew Ng! He covers neural networks, decision trees, random forest, and XGBoost models really well. I like that he shares his intuition behind every concept he explains.

筛选依据：

851 - Advanced Learning Algorithms 的 875 个评论（共 1,295 个）

创建者 Feroz K

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Jul 16, 2024

fantastic, very informative

创建者 Yakov K

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May 19, 2024

Very clear and illuminating

创建者 Amir S R

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Sep 17, 2023

It was an incredible course

创建者 Abhimanniu R

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Jul 26, 2023

Awesome learning experience

创建者 arash k

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Jan 27, 2023

great and simplified course

创建者 Agus I S

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Jul 12, 2025

This course opened my eyes

创建者 Ketaki K

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Aug 25, 2024

great teachng by Andrew NG

创建者 Dina A

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Aug 24, 2024

gooooooooooooooooooooooood

创建者 Mohammad J S

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Aug 19, 2024

that was great experience.

创建者 Navanish P

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Mar 3, 2024

no doubt it is best course

创建者 Arvin B

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Jan 29, 2024

Concise and easy to follow

创建者 Kashif M

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Oct 4, 2023

Great learning experience!

创建者 KARANAM V K

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Jul 20, 2023

This is a very good course

创建者 Amirhasan A

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Apr 17, 2023

very easy and great course

创建者 Pratyush K

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Apr 8, 2023

Must for beginners in ML !

创建者 Gerd D B

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Oct 2, 2022

Awesome for us beginners!

创建者 Badie T

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Sep 21, 2022

Very interesting course:D

创建者 Ziv M

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Sep 10, 2022

ANN explaining is great!!

创建者 Shalani K

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Jul 9, 2025

Good course for begineers

创建者 Sayed S

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May 2, 2025

It was an amazing course.

创建者 Timileyin D

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Apr 19, 2025

best of all at the moment

创建者 Farhan T

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Mar 8, 2025

Learned a lot, thank you.

创建者 Andrew Z

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Nov 7, 2024

My favorite course so far

创建者 malak K

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Sep 14, 2024

it is good cours for me .

创建者 Izaias J

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Aug 16, 2024

Such a great opportunity!