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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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8,476 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

MP

Nov 4, 2025

One of the best course for Learning Neural Network Fundamentals also dive into the advance algorithm like Decision trees,Random forest or XGB Algorithm. Thanks Andrew Ng for the top-notch course.

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.

筛选依据：

401 - Advanced Learning Algorithms 的 425 个评论（共 1,269 个）

创建者 PAULO C C G

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Oct 2, 2022

Definitely best course if you want to learn the underlying patterns of machine learning algorithms

创建者 Akshat B

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Sep 3, 2022

just one of the best machine learning course with a great instructor and well organized curriculum

创建者 Vardan M

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Jul 11, 2022

very good course with high quality lectures and materials to understand difficult concepts clearly

创建者 Umang C

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Jul 11, 2022

Backprop neural network would also have been nice! But great content especially on decision trees

创建者 Cheick D

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Mar 26, 2025

This course is very well explained. I can feel lot of empathy in the teacher. Thank you so much !

创建者 Florence P

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Aug 10, 2022

Extraordinary! With the right teacher it is astonishingly easy to learn these complex concepts!

创建者 Mesfin S I

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Apr 9, 2023

It helped me to understand the principles behind implementation of machine learning algorithms.

创建者 Nitin C

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Mar 21, 2023

Andrew Ng is phenomenal as usual. Amazing course suitable for all learners at different levels.

创建者 Samuel Z

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Aug 4, 2022

Explanations are succinct & simple. Helps greatly with grasping concepts & building intuitions.

创建者 NG

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Jan 16, 2025

Very well done course. Extra points for the interesting labs on heart failure and mushrooms :)

创建者 Abhishek S

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Sep 24, 2023

The practical guide for implementation of ML algos to real world problems was very beneficial.

创建者 Asror B

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Feb 13, 2023

Greetings! A big thank you to all of you Coursera team and Scholars. My thanks to Andrew NG...

创建者 Rahul S

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Aug 20, 2022

This course enhanced my knowledge of Advanced Learning Algorithms using python implementation

创建者 Francisco J M R

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Mar 24, 2024

Very useful insights, as always Andrew is a¡the 10/10 professor I hope I had during my degree

创建者 Stud 2

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Jul 29, 2023

Greate course and great instructor, always remember "Don't worry if you don't understand" 😅.

创建者 Rodrigo F

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Mar 10, 2023

Professor Andrew Ng has outdone himself in this course, the dynamics and examples are great.

创建者 Ramtin N

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Jun 6, 2025

the most perfect and comprehensive course in this subject with the best tutor in the world

创建者 Zharfan D H

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Apr 14, 2024

i like the casual jokes randomly thrown at week 4 videos, very sudden and out of character.

创建者 Harshan S

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Aug 15, 2023

One of the best course on machine learning algorithms in online. Really easy to understand

创建者 Jonathan R B

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Jul 26, 2023

The Advanced Learning Algorithms course on Coursera was an outstanding learning experience!

创建者 Pastor S

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Sep 5, 2022

Amazing course that allow to understand what's going on behind the scenes of ML algorithms

创建者 Kizmaz E

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Aug 12, 2022

This course provided me to learn machine learning algorithms in depth. Thanks for everyone.

创建者 Chris O

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Oct 30, 2023

I really enjoyed the course. It breaks things down to the minimum needed for understanding

创建者 Giancarlo P

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Dec 14, 2022

The instructor goes straight to the point. The labs are so helpful. This course is awesome