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

4.9
stars
4,921 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.

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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101 - 125 of 801 Reviews for Advanced Learning Algorithms

By Faisal K

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Aug 26, 2022

Very good course for getting an intuition of Neural Networks. Not so helpful for practical applications of it.

The explanations are so on point it will give you great idea of working and you can by yourself master its applications

By Arjun S

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Jul 18, 2022

All the concepts were simply and clearly explained, and the labs ensured that I understood everything in practice. Went from zero knowledge to being able to build my own machine learning programs win a matter of weeks. Excellent.

By Omid S B A

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Sep 6, 2023

this course gave me a good prospect toward machine learning and Neural Networks. But I believe it is not enough and exercises could be more and could be categorized in different levels so the learner could challenge themselves.

By Muhammad i z

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Feb 25, 2023

It is a great course to whom who seek the detailed information about the inside of the famous and robust algorithm like neural networks, decision tree, random forest, and XGBOOST. Thank you so much coursera, and deeplearning.ai

By Juan J B M

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Nov 4, 2022

It's a great introduction to advanced learning algorithms, that takes the same concepts used in the first course and expands them greatly. Would be better if they added some more practice labs, but the course is great as it is

By Hashim

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Jul 30, 2023

amazing course to learn the details of machine learning and deep learning and loved the way professor andrew ng taught the whole course just an amazing experience and cant wait to use the models learnt to create in daily life

By Geethika I S

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May 24, 2023

Covers a range of algorithm types used in ML. I can recommend this course to anyone who's trying to break in to AI. The instructor is the best. And the content is very well structured. Thank you so much DeepLearning.ai Team

By Darren N

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Mar 13, 2023

Andrew Ng is a great instructor who explains everything very clearly. The practice labs are challenging, but give hints that always ensure you can complete them. I'm really looking forward to further classes with Andrew.

By Luis C W

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Aug 26, 2022

Excellent course! Coursera content quality always exceeding expectations, which combined with the instructors' mastery of the subject, makes learning easy and at the same time motivating to always want to learn more!

By Fareed K

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Dec 16, 2022

I liked the course, I appreciate the videos and the course material by Mr Andrew Ng and his team. I have benefited to a good extent in understanding the neural network, I hope to create some applications in future.

By Arihant G

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Feb 2, 2023

Greatly designed, especially the assignments. The assignments were such that they allowed to focus on learning the essence of the algorithm without getting bogged down by the complexity of full code implementation.

By Valen B

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May 4, 2023

Awesome. Always Andrew explains the concepts so clearly, turning something complex to something easy to understand. The quizzes and labs are very helpful as well to practice and make sure one gets the material.

By Lei L

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Feb 3, 2023

Highly recommended! It made complex models & algorithms simple to understand. It also helped me to realize the power of linear algebra and calculus which I thought were useless at one point of my college study.

By Armin F

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Nov 8, 2022

I think many machine learning concepts from data clean to training to error analysis discussed here for both supervised classification and regression problems. Both Neural network and decision trees discussed.

By Shamiso C

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Jul 27, 2022

The concepts are explained in detail without anything rushed or skipped. It is worth it. Thank you for this course, if it wasn't for you, this opportunity would have never reached someone like me in Africa.

By Yamm E

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Jun 21, 2023

I was able to do this class during the spring quarter, it was perfect. I could do it slower or faster based on exams and still learn a lot. The interactive labs were great as well. 10/10 would recommend it.

By Sven A S

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Feb 10, 2023

Excellent course about advanced learning algorithms like neural network and decision trees! You'll gain a solid understanding of how those algorithms work and learn how to implement them yourself in Python.

By Nur M H

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Mar 28, 2023

Excellent course on machine learning techniques, including neural networks and decision trees, with lots of helpful information on how to enhance them and real-world implementation examples. Regards, sir.

By Abhay K

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Jul 24, 2023

Best course on machine learning even for the beginners. The teacher himself is the best and teaches everything in a very simple way. Just loved it. Thank you for creating such a nice and helpful course.

By Don G

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Apr 15, 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.

By Susanne B

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Nov 6, 2022

This course is a brief but thorough introduction. It has a good mixture of theory and practice.

Andrew Ng explains every thing very good, understandable and in a fun way.

I highly recommend this class!

By Marko N

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Jul 30, 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.

By Abdullah-Al M

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Mar 11, 2024

This course has offered invaluable insights and clarity in understanding machine learning concepts. It was a nice journey towards understanding practical application and complex concepts made easy.

By Victor N

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Mar 11, 2023

I had to put extra effort on this one as it delivers broader knowledge on Neural Networks and Decision Trees. Really liked the Fairness, Bias and Ethics section, I'll keep those into consideration.

By Ludeke

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Feb 28, 2023

Worth it! Can easily be complete within a month (even during a full, in-person, university class load). I used this to learn more about machine learning prior to conducting biomedical research.