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

4.9
stars
6,674 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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251 - 275 of 1,032 Reviews for Advanced Learning Algorithms

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 Tushar N

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Nov 8, 2024

Really a nice course for beginners, learned quite a lot from how and why to use various models to working of these algorithms.

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.

By Nguyen C C

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Nov 19, 2024

complex is made simple , easy to learn. Practice lab help fortify knowledge. The conversation with Andrew is very insightful.

By Afrina A

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Aug 8, 2024

Course was kinda theoretical , practicall application of the knowledges obtained if instructed with project would be helpful

By Ajay Y

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Mar 13, 2024

I learned a lot of new things. This course is very beneficial to whom that wants to learn the machine learning from scratch .

By HIMANSHU L

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Mar 26, 2023

Excellently designed course. Greatly curated content and great and easy to understand way of delivery. Thank you. Keep it up.

By Junaid T

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Oct 29, 2022

Fantastic Course I would recommend it to anybody, it has truly broadend my horizons 100% with regards to Deep Learning and ML

By Saif U R

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Sep 12, 2022

Wonderful course. Prof. Andrew makes everything very easy to understand while having some fun. See you in the third course.

By Emmanuel C

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Mar 6, 2024

Great course, the explanations were well articulated and helped me gain deeper understanding of how machine learning works.

By Hunain A

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Sep 26, 2022

It was a bit tough, but thankfully the instructions and lab work helped in giving a thorough explanation and understanding

By Hamza Z

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Jul 22, 2024

A beginner friendly course part of machine learning specialization to gain insights to key algorithms in machine learning.

By Ricardo F d B

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Jun 5, 2023

Excellent course. Prof. Ng is very clear in his expositions, with great material to support the course. Highly recommended

By Jose C

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Sep 27, 2022

Amazing course! Extremly usefull not only for beginners but for those who already know to code but want to learn about IA

By Sam O T

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Mar 25, 2024

The right mix of technical and non-technical information. The introduction of not-so-easy theoretical concepts is gentle.

By Vahid H

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Aug 6, 2022

This course is awesome. Why? Because it is very simple but at the same time is complete and to the point. Thanks Andrew.