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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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8,335 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

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.

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：

476 - Advanced Learning Algorithms 的 500 个评论（共 1,244 个）

创建者 Aryan D

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Jun 2, 2024

Excellent course by Mr Andrew looking forward to apply these skills in future

创建者 Ahmad W

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Jan 9, 2024

Very well structure and organized. Really parallels with real-life uses of ML

创建者 Alexandre C

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Oct 16, 2023

Great to have a basic understanding of Neural Nets and tree-based algorithms.

创建者 Alex Y

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Jun 3, 2023

A little more challenging than the 1st course, but very well done nonetheless

创建者 Syed M S

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May 28, 2023

Its a course worth taking. Continuous learning, a refresher. Next to perfect!

创建者 Kamurasi J A

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Aug 11, 2024

Capture of basic, fundamental concepts, Recommended for intuitive learning.

创建者 Pasindu B

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Dec 16, 2023

If you want to be a machine learning engineer, you must follow this course..

创建者 Ankit P

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Aug 21, 2022

Its the best course. I just loved and enjoyed so much throughout the course.

创建者 Sobhan A

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Aug 21, 2022

Thanks Andrew for this great education. It was so helpful and also practical

创建者 Harshad B

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Aug 16, 2025

the course is really good and it teaches algorithms better than some books

创建者 Johanna D A

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Aug 19, 2023

The course is excellent, and the professor is the best. A thousand thanks.

创建者 Vivian S

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Jul 24, 2023

Simply excellent! I would only ask for more programming labs and training.

创建者 Steven

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Aug 19, 2022

Clear and concise. Lots of useful tips and tricks for hands-on exercises.

创建者 Md N B

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Mar 14, 2024

I have gained a lot of things about learning algorithms from this course.

创建者 Moneeb R

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Jan 5, 2024

That is one of the best course for beginners to start in the world of ML

创建者 Yogesh O

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Aug 6, 2023

Amazing narrative on the complete AI /ML training modules and good lab's.

创建者 Luu C T

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Feb 1, 2023

It's not hard as I imagined, with the example and lab can be learned easy

创建者 Greg D

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Jan 3, 2023

A perfect and natural introduction to advanced learning algorithms in ML.

创建者 Yusuf T

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Aug 22, 2023

Excellent course topics. I learned and improved my knowledge. Thank you.

创建者 sandun h

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Aug 20, 2023

This course helps me with understanding fundamentals of neural networks.

创建者 Milad H

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Jul 15, 2023

useful for getting more familiar with neural networks and decision trees

创建者 Shivaji C

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Feb 17, 2023

Good course. One of the starting course if you want to learn from basics

创建者 Niranjan B V

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Nov 25, 2022

final graded lab was quite lengthy and dificult but it was challenging .

创建者 Guru S B

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Aug 2, 2022

The course provides excellent intuition necessary for any ML practioner.