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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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251 - 275 of 989 Reviews for Advanced Learning Algorithms

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.

By Abubakar A

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Aug 8, 2024

i just love the content and the occasional jokes thrown into the lectures. Learned alot and enjoyes every moment of it.

By Amith V

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Jan 30, 2024

Loved the teaching by instructor never made me feel like i dont know anything thank you sir and the team for this course

By Atharv P

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Oct 29, 2023

This course has helped me to get a deep understanding of neural networks as well as various machine learning algorithms.

By Rani D S S

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Jan 5, 2023

Seriously good but need more math content. Prof Andrew Ng, please include more math derivations and advanced math stuff.

By Katam V K

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Jul 29, 2023

There should be some explanation for the labs in the decision trees topic(week 4) apart from that everything is great.

By israel m p

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Feb 23, 2023

Es un excelente curso para adentrarse a algoritmos avanzados de Machine Learning. Andrew Ng y su equipo son excelentes.

By Baris B

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Jul 13, 2022

Great resource for learning basic concepts of neural networks and decision trees. Thanks a lot for making it available.

By Shreshtha Y

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Jul 8, 2024

Easy to understand and learn from. Only improvement would be to explain xgboost and random forest algorithm a bit more

By Alexander M

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Jul 4, 2024

I enjoyed this even more than the previous course in the series and I look forward to unsupervised learning algorithms

By Md. M R

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Apr 22, 2024

Instructor like Andrew Ng. sir, blessing now a days.!! Wish to learn from him face to face!! Best course design ever!!

By Francisco S A

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Jul 25, 2023

Good compilation of some of the most common advanced learning algorithms. Missing some like SVM but great in any case.

By Kartik A

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Aug 7, 2024

Developed a better understanding of machine learning libraries and algorithms along with the mathematics behind them.

By Fangyuan L

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Nov 16, 2023

nice instructor and very useful learning materials, the course is also designed to be very begininger level friendly!