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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：

826 - Advanced Learning Algorithms 的 850 个评论（共 1,243 个）

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!

创建者 Mahanya K

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Jul 17, 2024

Great intuition building.

创建者 Claudio M A

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May 17, 2024

Excelente curso, o melhor

创建者 Albert C

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Jan 14, 2024

Not hard, but so valuable

创建者 Sergio M

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Dec 5, 2023

Instructive and Inspiring

创建者 hossein g

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Jul 17, 2023

Really informative course

创建者 abdirisak a y

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Jan 2, 2023

thank you proff Andrew Ng