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

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8,311 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

DG

Apr 14, 2023

Extremely educational with great examples. Helpful to know Python beforehand or the syntax will become a time sync, and understanding the mathematics as going through the class makes it a decent pace.

MA

Jun 21, 2025

The course is well crafted and enriched with deep learning and ensemble tree knowledge. Practice labs add strength to the development of skills. Overall good learning experience under sir Andrew NG.

筛选依据：

851 - Advanced Learning Algorithms 的 875 个评论（共 1,242 个）

创建者 Tien H

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Oct 12, 2022

Excellent!! I learn a lot

创建者 Adithya S

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Sep 7, 2022

Very fgood for begginers

创建者 Simone C

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Aug 7, 2022

Sublime! Nothing to say!

创建者 Rodel F A

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Feb 8, 2025

This training is superb.

创建者 Romain D

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Oct 2, 2024

Very clear and intuitive

创建者 Devendra P

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Sep 25, 2024

Great Inshightful course

创建者 Shreyansh G

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Aug 19, 2024

Thanks for the Knowledge

创建者 Solipsist

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Mar 11, 2024

Great course, I love it!

创建者 Zahra R

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Jan 7, 2024

Best Course EVERRRRRRR!!

创建者 Muhammad H

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Sep 23, 2023

Very well taught course.

创建者 Mohomad L U

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Aug 22, 2023

Greate Instructor Andrew

创建者 Karim A 2

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Aug 21, 2022

Amazing course as usual

创建者 Hafeez U

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May 16, 2025

This is the best course

创建者 Ashutosh G

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Oct 12, 2024

Fantastic explanations!

创建者 BADRI N

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Aug 14, 2024

Great course by Andrew.

创建者 Hossein A

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Jan 17, 2024

Explanation was perfect

创建者 Khushi G

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Dec 8, 2023

Very nice and detailed.

创建者 ViaLabsDigital - A d I

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Nov 21, 2023

Great labs and classes!

创建者 Hamidreza K

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Aug 8, 2023

It was a perfect course

创建者 Е Е

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Nov 17, 2022

老师讲解的非常清楚且易懂，非常好的入门级课程。

创建者 Peter R

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Sep 14, 2022

Great work, thank you!

创建者 RAHUL V

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Mar 23, 2025

one of the best course

创建者 Jason S

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Mar 15, 2025

best course that I did

创建者 임준수

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Aug 16, 2023

What a useful lecture!

创建者 JUAN P P A

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Jun 26, 2023

The best with the best