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Learner Reviews & Feedback for Advanced Learning Algorithms by DeepLearning.AI

4.9
stars
6,137 ratings

About the Course

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....

Top reviews

DG

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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.

AD

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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.

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226 - 250 of 989 Reviews for Advanced Learning Algorithms

By Rafi D

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Feb 3, 2023

When teaching is elevated to a level of art, it becomes effortless to acquire knowledge. May the world get more teachers like Andrew Ng.

By Alvaro B

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May 24, 2023

The course is excellent, 100% recommended! but I think you need more easier practical exercises that gradually increase the difficulty.

By Muhammad F R

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Apr 10, 2023

This course was really helpful. Thank you Coursera and Sanford for the opportunity to learn from the best ML coach Andrew Ng and team.

By Pablo K

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Aug 14, 2022

A very complete course but it would be necessary to also do the algorithms of trees and forests with tensorflow, the rest is excellent.

By Zohaib S

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Jul 24, 2024

The course introduces some introductory concepts in deep learning along with some useful tips and tricks to improve model performance.

By Willian S G

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Jan 9, 2024

Amazing! You really get to understand how/why ANNs are such massive improvement on simpler methods such as linear/logistic regression.

By Bruno G

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Jan 20, 2023

Andrew is an excellent teacher who is capable of explaining complex things in a very simple manner. I strongly recommend this course!

By Amirmahdi F

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Aug 16, 2023

This course was so great and useful for leaning new concepts. Now I'm eager to learn more and more. Thanks for providing this course.

By 2K20_SE_161_Vishal R R

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Jan 15, 2024

this is a very helpful course for understanding the basic and advanced concept of the neural network, personally, it helps me a lot.

By Pardha S

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Apr 30, 2023

Explanation of concept is Very Good

Explaining every probabilty of Event Happening if One thing is Used in Model of Other algorithm

By Martín B B

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Sep 22, 2022

Excelente, muy buen curso! Me gustó mucho aprender las bases del funcionamiento de las redes neuronales y los árboles de decisión.

By Andrea T

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May 25, 2024

This is a great course. It provides a broad and deep knowledge about the topic paired with valuable insights. Thank you very much.

By Bello R

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Sep 3, 2022

The course taught me how to properly implement decision trees. I am really grateful for all the efforts behind this amazing course

By Deleted A

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Mar 2, 2023

Very good course, very good leader.

It allows you to UNDERSTAND machine learning & stuff behind it, not just blindly implement it.

By Chajin O

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Dec 8, 2022

It was a lecture that clearly organized the artificial intelligence that I had learned so far.

Thank you to those who prepared it.

By Mallikarjunadas C

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Aug 1, 2022

A Terrific update to a classic course. Andrew Ng is a fabulous teacher who can make the complex simple - without dumbing it down

By Mohamed B

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Aug 16, 2023

Excellent course, I have learned a log during this lecture, and I am looking forward to learn even more in this specialization.

By Maede S

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Dec 26, 2022

Powerful learning, most applicable matters and wonderful learning lab. Thanks to Andrew Ng and wonderful deeplearning.ai team

By Bishal S

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Jan 19, 2024

Excellent course with great explanation by the proffesor. Optional Labs are highly useful to solidify the knowledge. Thank you

By Yash S

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Sep 11, 2023

The course may seem too much initially but it is worth it. I don't think the topics can be taught any better! Thank you Andrew

By Sandile T

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Jul 27, 2023

Learning Advanced Learning Algorithms at a scientific level, from the subject matter expert, coupled with real life projects.

By Swapnil D

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Apr 28, 2023

superb experience to learn this course with Andrew NG, He really explains the concept in simple terms. Enjoyed learning a lot.

By Veljko V

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Feb 28, 2023

Excellent course. Gives great insight into neural networks and XGB which are extremely important in ML. Would highly recommend

By Abhijit C

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Jan 17, 2023

Explanations are very good and well structured. I am a beginner in this domain, yet I was able to understand all the lectures.

By Mahdieh E

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Sep 8, 2022

Thanks to this very helpful and useful course, I believe I have a good understanding of Neural networks and how they fonction.