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

4.9
stars
6,545 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

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.

SL

Aug 27, 2022

After copleting the course I found all conceptual knowlegde for visualising and implementing the algorithm in my work. Before this course I was not using the full potential of the advanced algorithm

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951 - 975 of 1,013 Reviews for Advanced Learning Algorithms

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 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 Bisa V

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Oct 17, 2022

This course is really interesting and the lecturer explain each topic very neatly and slowly.

By H L

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May 28, 2024

The only thing this course lacked was a capstone project/ direction on how to practice

By GERARDO G M

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Aug 23, 2022

It should have more practices. There's a lot of theory, but just a little practice.

By Hicham E

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Aug 1, 2024

More labs would have been nice especially for non initiated student in Python

By Vusumuzi D

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Feb 21, 2023

Excellent presentation that provides insights into practical problem-solving

By Andreas P

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Dec 7, 2023

Very competent and detailed explanations. Intuitive way to teach the topic.

By Kuldeep J

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Aug 25, 2023

Great course to learn about most used useful algos in ML and DL by Mr. Ng

By Sai K

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Aug 26, 2024

really fun and interesting. Loved the course and i learnt a lot from it.

By Souvik M

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Jan 6, 2024

Course could have been more technical. Certificate sharing doesn't work

By Ryan B B

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Sep 13, 2023

Great, but could have more challenging assignments and projects.

By Naga V T S M

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Aug 31, 2023

Good to learn from this course. It is giving valuable insights.

By Asghar H

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May 10, 2024

Great course for learning Advanced Machine Learning algorithms