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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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8,419 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.

SB

Nov 6, 2022

This course is a brief but thorough introduction. It has a good mixture of theory and practice.Andrew Ng explains every thing very good, understandable and in a fun way.I highly recommend this class!

筛选依据：

826 - Advanced Learning Algorithms 的 850 个评论（共 1,269 个）

创建者 정한솔

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Dec 18, 2024

Excellent Course to study M/L

创建者 Mojde e

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Sep 25, 2024

It was perfect. Thanks a lot.

创建者 Nelson M

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Jun 14, 2024

Excellent! Full of substance!

创建者 GAURAV J

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Jul 12, 2023

amazing description of algo's

创建者 karthik K

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Apr 16, 2023

excellent course for beginner

创建者 Shubham P

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Jan 2, 2023

Awesome course awesome mentor

创建者 Mouhamad K

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Oct 20, 2022

Great course, thanks alooot.

创建者 Nate R

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May 29, 2024

Fantastic overview of theory

创建者 Javed S

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Jan 19, 2024

Andrew is a blessing. Thanks

创建者 Ali M g

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Oct 20, 2023

that was a fantastic course!

创建者 paddey z

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Aug 22, 2022

Andrew is so nice and cute!!

创建者 wail a

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Nov 1, 2025

Detailed And well presented

创建者 arihant s

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Feb 6, 2025

really enjoyed this course!

创建者 Dramane D

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Sep 27, 2024

Great content for biginners

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