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

4.9
stars
7,063 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 Specia...
...

Top reviews

DG

Apr 14, 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.

MN

Jul 29, 2023

Another fantastic course by Andrew Ng! He covers neural networks, decision trees, random forest, and XGBoost models really well. I like that he shares his intuition behind every concept he explains.

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1001 - 1025 of 1,077 Reviews for Advanced Learning Algorithms

By Anirban H

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Jul 20, 2022

Beginner level course, explained simple concepts on neural network specifically Multi-Layer Perceptron & Decision Tree, nothing advanced topics covered. But the explanation is very very good.

By Habib S

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Dec 26, 2024

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.

By Rohan K

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May 13, 2024

It's a great course, really phenomenal but it lacks a little on the implementation side. It would be better if it had 1 or 2 medium-level hands-on projects included in its structure.

By Prejith S

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Jan 27, 2023

I felt the lab assignment in the Decision trees section was a little too fast to comprehend. Otherwise, it was an excellent course with just the necessary theory and intuition.

By Caio A

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May 3, 2024

Good to review some concepts if you have an Intermediate level of knowledge and excelent if you're new to the area. Still very light on mathematics, but the course is excelent

By Ruedi G

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Aug 28, 2022

Very good didactical approach. The labs are straight-forward but test programming skills more than AI expertise. Editing and error checking in the notebooks is poor.

By Kushagra L

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Jun 3, 2024

Very good learning experience. Bit difficult than the previous course on supervised learning, but concepts can be understood if we listen and understand carefully.

By Farouk B

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Sep 28, 2024

very good course but it needs lab practice , it looks like we just run the code , aand if we want to write by our self it is hard . but thank you so much

By SM N

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Dec 5, 2024

its a very good course to understand basic concept of machine learning. sometimes its hard to understand the code. otherwise its a 5/5 course.

By Avdhoot J

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Apr 9, 2024

It would be much better if you link a relevant applied AI course with this package. The course is more of theory, than practical application.

By Abdul-wahab M

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Aug 12, 2024

Explains the working behind algorithms well . But you need to spend time actually building some projects with this knowledge on your own

By Zach S

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Feb 15, 2023

Pretty great. I kind of wish the assignments were a little more challenging but I realize that it's a beginner level course too.

By Gaurav G

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Nov 23, 2023

The last week is less boring, it was hard for me to grab to concepts of the last week, it seems everything magically works!

By Céléstin N

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Sep 8, 2022

The course is very informative but assignments solutions are provided. There is a lack of challenging learners to do more.

By Younas K

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Feb 4, 2024

This one is a little pacy compared to the first one. Maybe the explanation for the math is not as clear as the first one.

By Alessandro G

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Apr 14, 2024

Really good course, maybe some more project-like assignments would be beneficial to assimilate the concepts more deeply

By Prasanjeet K

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May 17, 2024

If the lab materials and implementations were described It would have been the best course on Machine Learning Basics

By Goziem M

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Dec 6, 2024

Great material. I felt there was a lot of talking, but it might just be me. I do better in a hands-on environment

By Durlov

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May 20, 2023

Concepts are well explained, but the last Practice Lab had confusing problems that were not well-explained.

By Syed N

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Dec 25, 2023

Amazing Course!! I feel that the Random Forest and XGBoost section could be a little more elaborated.

By CM-A-Jivhesh C

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Aug 20, 2023

I wished they added neural networks after all the ML algorithms but agains the teaching was amazing

By Marc A

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Jun 5, 2024

The labs are not very challenging, maybe some more coding would help to understand more material.

By Gracie M

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Sep 5, 2024

i needed more practical projects and code explanation but theoretically the course is very good!

By Ofer S

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Aug 16, 2022

I found the lab practice a bit simple and technical on one side but not intresting on the other.

By Anmol R

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Jan 7, 2025

course is good, content of the course is easy to understand but their is a lack of practice set