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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.

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1101 - Advanced Learning Algorithms 的 1125 个评论（共 1,242 个）

创建者 ASHWANTH S K C

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Jun 1, 2025

good

创建者 Hepprajith P

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Mar 28, 2025

good

创建者 Nguyễn T T

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Feb 28, 2025

Good

创建者 Khoa T

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Jan 19, 2025

good

创建者 Arjun y

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Dec 17, 2024

NICE

创建者 Rain L

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Nov 13, 2024

Good

创建者 Happiness H

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Oct 21, 2024

good

创建者 Muhammad A X

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Oct 14, 2024

cool

创建者 mahdi t

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Sep 26, 2024

best

创建者 Priyanshu K

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Sep 10, 2024

good

创建者 HANIUM M J (

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Aug 20, 2024

best

创建者 RATHOD Y A

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Aug 4, 2024

nice

创建者 Jeevotthama S K .

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Jul 29, 2024

BEST

创建者 Dinesh M

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Jul 28, 2024

Good

创建者 Ahmed N

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Nov 16, 2023

Good

创建者 the o s

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Nov 11, 2023

nice

创建者 Dini P U

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Oct 14, 2023

good

创建者 Rizki A

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Oct 12, 2023

good

创建者 Trisno P R

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Oct 8, 2023

Joss

创建者 Haveela D

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Sep 19, 2023

good

创建者 Chonchal K

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Sep 14, 2023

good

创建者 Angger M R

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Apr 5, 2023

good

创建者 Fitrah S

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Mar 22, 2023

cool

创建者 Ande R

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Feb 17, 2023

Good

创建者 Lovish C

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Feb 4, 2023

nice