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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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8,328 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.

HI

Apr 17, 2024

This showcases key points and advice on building a good model via optimizing model hyperparameters hence making the learner able to debug and tune the model for the particular situation.

筛选依据：

876 - Advanced Learning Algorithms 的 900 个评论（共 1,244 个）

创建者 Pruthwiraj S

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Mar 10, 2025

Very essential course

创建者 Yuvan S

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Jan 8, 2025

Informative, Good. :)

创建者 ULKA Y

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Oct 18, 2024

very effective course

创建者 Han J

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Oct 7, 2024

Wonderful Materials !

创建者 mohammad m m

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Jun 19, 2024

best teacher ever! :)

创建者 FEDI L

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Mar 22, 2024

Such a helpful course

创建者 Luis E

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Mar 7, 2024

Magnifico aprendizaje

创建者 Ananya J

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Oct 10, 2023

Above my expectations

创建者 AARYAV D (

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Aug 25, 2023

It was a good course.

创建者 Muhammad S h

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Apr 29, 2023

Great course Thankyou

创建者 taroballscai

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Aug 16, 2022

Ng is the number one!

创建者 Divine J

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Sep 4, 2025

Incredible as always

创建者 Gizem T

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Feb 2, 2025

perfect professor <3

创建者 Jalal U

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Jan 27, 2025

Easier for beginner.

创建者 Артем К

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Jan 15, 2025

simple yet effective

创建者 Anil R

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Mar 17, 2024

Very well structured

创建者 HACHOUD M

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Feb 21, 2024

the best course ever

创建者 Hoang L

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Sep 28, 2023

Just love the course

创建者 parag j

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Apr 2, 2023

very good instructor

创建者 Randheer K

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Aug 25, 2022

i have learnt a lot.

创建者 Subrata M

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Aug 19, 2022

Very well explained.

创建者 Aishwarya S

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Jul 27, 2022

LOVED THE JOKES TOO!

创建者 Roberto C M V

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Sep 9, 2025

Excellent course!!!

创建者 SIBAJIT M

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Oct 26, 2024

In-Depth , relevant

创建者 Mehmet C

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Jun 15, 2024

very helpful course