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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：

426 - Advanced Learning Algorithms 的 450 个评论（共 1,242 个）

创建者 Khaled M

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Aug 30, 2023

Amazing I know have a good idea about neral networks and decission trees implementatioin

创建者 Nicholas J F

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Jun 26, 2023

Awesome. The Interactive Jupyter Notebooks are a notch above in the instructional realm.

创建者 Anas S

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Feb 11, 2023

Thank you very much for this course, it is really very useful and enrich of information.

创建者 Ardinc E

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Apr 29, 2025

The polynomial regression part was the best I were be able to follow. Thank you indeed!

创建者 Milan P

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Dec 2, 2024

best course with deep knowledge of advances learning algorithm including neural network

创建者 Loh N E A

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Sep 4, 2023

very informative, concepts broken down into bite sized pieces, very easy to understand.

创建者 Gopal R

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Jun 4, 2023

Advanced learning algorithms in ML with well structured and easy to understand modules.

创建者 Tudor J

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Nov 10, 2022

A course just as great as the previous one in this specialization. Worth all its money!

创建者 Jair C

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Aug 27, 2022

Excellent Teacher, Excellent Material, Excellent Evaluations and Excellent Laboratories

创建者 Vansh C

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Jun 19, 2025

If you wish to learn ML, this is a must to do course, everything is from scratch here.

创建者 Shreshth G

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Apr 14, 2024

Very helpful course to grasps the basics of machine learning fundamentals and concepts

创建者 Arghya D

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May 30, 2023

Great course explaining every bit of machine learning algorithm using modern for labs.

创建者 Ramzi R

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Nov 15, 2022

Great course! I wish there were some optional videos on XGBoost and the math behind it

创建者 VISHVESH B (

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Nov 7, 2022

Very informative and useful course to learn Machine learning from beginner to advance.

创建者 Daniel A

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Aug 9, 2022

Thank you to all course development staff specially to Dr Andrew Ng. Fantastic course.

创建者 Murat B

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Sep 22, 2023

Very understandable and instructive , even for a beginner like me with no background.

创建者 Ben H

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Jun 7, 2023

Fantastic course that teaches the fundamentals of neural networks and decision trees!

创建者 Hiren K

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Jun 4, 2023

2/3 done.. Thanks Andrew for making this transition to ML so smooth and yet powerful.

创建者 Md N

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Jun 8, 2024

One of the best courses to get introduced with advanced machine learning algorithms.

创建者 Tharindu M W

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Jan 25, 2024

The course is well-structured and valuable. The fundamentals are taught effectively.

创建者 David M

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Dec 9, 2023

Well paced course, topics explained clearly, great Notebook programming lab support.

创建者 Florencia I A

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Oct 23, 2023

amazing, but lowkey I hope the content especially the video is more straight-forward

创建者 Erfan R

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Aug 20, 2023

best for beginners.

lovely teaching with Dear Andrew NG.

Thanks lot for financial aid

创建者 Jaeyeol S

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Jul 22, 2023

I felt that the curriculum was well planned in a way that helps students understand.