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学生对 DeepLearning.AI 提供的 Advanced Learning Algorithms 的评价和反馈

4.9
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:

176 - Advanced Learning Algorithms 的 200 个评论(共 1,241 个)

创建者 Yamm E

Jun 21, 2023

I was able to do this class during the spring quarter, it was perfect. I could do it slower or faster based on exams and still learn a lot. The interactive labs were great as well. 10/10 would recommend it.

创建者 Sven S

Feb 10, 2023

Excellent course about advanced learning algorithms like neural network and decision trees! You'll gain a solid understanding of how those algorithms work and learn how to implement them yourself in Python.

创建者 Nur M H

Mar 27, 2023

Excellent course on machine learning techniques, including neural networks and decision trees, with lots of helpful information on how to enhance them and real-world implementation examples. Regards, sir.

创建者 Abhay K

Jul 24, 2023

Best course on machine learning even for the beginners. The teacher himself is the best and teaches everything in a very simple way. Just loved it. Thank you for creating such a nice and helpful course.

创建者 Don G

Apr 15, 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.

创建者 Muhammad A

Jun 22, 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.

创建者 Matthew W

Dec 12, 2024

Andrew was a great teacher, explaining complicated topics in a simple and intuitive way. The programming assignments helped to put theory into practice. A great place to start learning a new field!

创建者 Cristian A A S

Nov 2, 2024

This is a great introduction to Neural Networks and decision Trees! The only thing missing is more applied projects, but that's nothing a little bit of Kaggle can't fix. It's totally recommended!

创建者 Sian R

Oct 31, 2024

This Course helped me to fundamentally understand Neural Network's Magical Dance and helped to explore the Wonderful Forest of Randomness and hence enabled me to have strong grasp on these Topics

创建者 Ludeke

Feb 28, 2023

Worth it! Can easily be complete within a month (even during a full, in-person, university class load). I used this to learn more about machine learning prior to conducting biomedical research.

创建者 Arunabh S

Mar 21, 2025

Really well explained course, keeping the lessons lengths short and explained in easy language. I am amazed at how much I feel I have learned in the last few weeks since I started this course.

创建者 Aquib V

Mar 1, 2024

Amazing content, perfectly curated topics with hands-on labs, although Assignments and labs could be more challenging based on certain level students who already have programming backgrounds.

创建者 Lidia S E

Aug 8, 2023

Very good course to understand the basics of Machine Learning at a deep level. I really enjoyed taking this course and all the explanations and exercises provided. I cannot recommend it more!

创建者 Aditya K

Jul 12, 2024

what amazing course, I had never thought that i could understand these complex ml algorithm but this course not only made me understand them also taught me create these models from scratch🤯

创建者 Jianhua M

Jul 18, 2022

The elementary method such as Linear Regression Model more meaningful than the hard method. Dr. Andrew Ng lectures are a very good combination of profound thought and perfect form. Thanks!

创建者 أحمد ر م

Aug 12, 2025

The course only lacks to a real-world project with a real data and a whole ML project from data cleaning, feature engineering, and model development. But for the content, it is very strong.

创建者 Djordje K

Jun 27, 2023

Beautifully done course! I'm finishing my master's thesis in the field of machine learning and this certificate was a great thing to see how things work behind the scenes. Thanks Andrew Ng!

创建者 Habib S

Feb 25, 2025

This course is Amazing, but the only thing is that the background is too much bright!! While most of the people (including me) learns at night, and that bright screen just ruins the focus.

创建者 Honore I

Apr 18, 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.

创建者 Abhijeet A D

Feb 28, 2024

Great course got to learn a lot of under-the-hood working of various machine learning algorithms. I would surely recommend ML enthusiasts to enroll in this course to upskill yourself.

创建者 Francisco R

Oct 19, 2022

A great course ! I found that important intuitions and techniques for "tunning" and debugging neural networks are clearly explained. The labs and assignments are also really helpful.

创建者 Sachin B

Sep 29, 2022

Best course for beginners and it helped me immensely to learn new things in Neural Networks, DecisionTree, and What is the problem related to the Model overfitting and underfitting.

创建者 Bruno R S

Jul 30, 2022

This course is even better and more accessible in this new format. This instance is quite complicated, requires some good python/numpy knowledge but the math is not so overwhelming.

创建者 Amin M

Aug 15, 2024

Really good course for anyone who wants to learn about more advanced algorithms in machine learning. Andrew teaches so well that it never felt like the algorithms are advanced.

创建者 Vagheesh M K

Jan 9, 2024

Perfectly curated course. The Best explanation from the Best of Sir Andrew Ng. I cannot recommend this course enough. Its a mandatory course for any DS/ML/DL/AI aspirants!!!!