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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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8,320 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：

801 - Advanced Learning Algorithms 的 825 个评论（共 1,243 个）

创建者 mr g

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Nov 26, 2023

An excellent and usable course

创建者 Arash S

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Oct 26, 2023

It was awesome for me . Thanks

创建者 Surendra K S

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Oct 13, 2023

Excellent course for beginners

创建者 Omer S

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Jan 14, 2023

Great course. I learned a lot.

创建者 Saeedanwar M

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Sep 13, 2022

i love the way they tought me

创建者 Krrish R

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Mar 21, 2025

Thanks for giving me a chance

创建者 정한솔

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Dec 18, 2024

Excellent Course to study M/L

创建者 Mojde e

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Sep 25, 2024

It was perfect. Thanks a lot.

创建者 Nelson M

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Jun 14, 2024

Excellent! Full of substance!

创建者 GAURAV J

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Jul 12, 2023

amazing description of algo's

创建者 karthik K

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Apr 16, 2023

excellent course for beginner

创建者 Shubham P

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Jan 2, 2023

Awesome course awesome mentor

创建者 Mouhamad K

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Oct 20, 2022

Great course, thanks alooot.

创建者 Nate R

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May 29, 2024

Fantastic overview of theory

创建者 Javed S

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Jan 19, 2024

Andrew is a blessing. Thanks

创建者 Ali M g

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Oct 20, 2023

that was a fantastic course!

创建者 paddey z

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Aug 22, 2022

Andrew is so nice and cute!!

创建者 arihant s

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Feb 6, 2025

really enjoyed this course!

创建者 Dramane D

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Sep 27, 2024

Great content for biginners

创建者 Feroz K

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Jul 16, 2024

fantastic, very informative

创建者 Yakov K

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May 19, 2024

Very clear and illuminating

创建者 Amir S R

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Sep 17, 2023

It was an incredible course

创建者 Abhimanniu R

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Jul 26, 2023

Awesome learning experience

创建者 arash k

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Jan 27, 2023

great and simplified course

创建者 Agus I S

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Jul 12, 2025

This course opened my eyes