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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：

1001 - Advanced Learning Algorithms 的 1025 个评论（共 1,295 个）

创建者 ty n

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Mar 19, 2024

Awesome course

创建者 Abdelrahman A

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Feb 3, 2024

Amazing course

创建者 Sourav D

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Oct 19, 2023

awesome course

创建者 Paras

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Oct 7, 2023

Excellent work

创建者 Islam A

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Sep 17, 2023

Amazing course

创建者 Jai S K S C S

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Jun 15, 2023

Well Organized

创建者 Jay p

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Apr 16, 2023

Amazing course

创建者 sagar l

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Feb 26, 2023

Truly the best

创建者 Huajie C

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Feb 9, 2023

very very good

创建者 Ibrahim k F

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Aug 24, 2022

Thanks so much

创建者 Vũ Đ D V Đ D

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Jul 16, 2025

Great course.

创建者 Elvis T

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Mar 31, 2025

Great lecture

创建者 Yutao L

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Feb 7, 2025

V-good course

创建者 Sabeur M

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Dec 20, 2023

Great Courses

创建者 Syed S N

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Nov 2, 2023

Very Helpfull

创建者 mohamed o E

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Aug 1, 2023

thanks a lot

创建者 Christine S

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Jun 29, 2023

Great course!

创建者 Andrii

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May 31, 2023

Great course!

创建者 Thomas V F

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May 4, 2023

Great course!

创建者 Mithun K

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Apr 1, 2023

Exceptional !

创建者 Sam T

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Feb 25, 2023

Easy and Fun!

创建者 Andrew K

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Sep 10, 2022

Nice course!

创建者 Arkan N

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Aug 9, 2022

great course!

创建者 Ahmed R

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Jul 17, 2022

Just amazing,