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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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76 - 100 of 800 Reviews for Advanced Learning Algorithms

By Luis L

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May 31, 2023

The material presented was clear and easy to understand, the algorithms are explained by Dr. Ng in a manner that "you can visualize..." the logic. The programming part is done totally, you have just to follow the code.

In summary, it was a great learning experience. Thanks

By Javier

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Sep 16, 2022

I think the content is great as well as the teaching method. I think that anyone, with enough time can get to understand everything. Besides, experienced ones can also learn a lot from this course. This is a must-to-do course to get into the world of Machine Learning

By Erfan D

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Feb 5, 2024

It is a good course in terms of teaching concepts, but in terms of programming, the assignment expectations at the end of each week are somewhat inconsistent with the topics taught. The course teaches concepts well, but assignments don't align with weekly topics.

By Arumachalam R

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Sep 27, 2023

Excellent presentation of concepts and guidance on best practices. The instructor provides the right motivation for the concepts and the labs really highlight the finer nuances of programming these concepts. The material on ethics in AI was very much appreciated

By Gerry P

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Feb 18, 2023

best of the 3 courses in the specialisation but still let down a bit by the programming assignments. The original Machine learning course was more challenging when it came to graded assignments, this one less show with the hints not being hints but full answers.

By Sergey M

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Aug 21, 2022

Liked the explanations, steady pace and examples, clearly painstakingly learned places where students learn slower are addressed. Rather few labs in this one, but seem to cover main basics. Learned quite a bit, although taking as a refresher. Good update! Thans!

By Pritam D

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Jul 9, 2022

My favorite part was how beautifully the concepts from the first class, and more generally linear learning algorithms, are connected to neural networks. The mentors are so helpful, you feel like you have a private tutor teaching you advanced skills. Amazing!

By Florian W

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Jul 16, 2022

I really enjoyed the course. Andrew is a great teacher. The examples were well chosen and it was not too complicated to follow. Good to take a look behind the scenes of what the state-of-the-art libraries are doing.

Also +1 on the the dad jokes at the end ;-)

By mahanth m

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Sep 18, 2023

When i started the Machine learning journey, i always had a doubt on this neural networks on how all this works, whether it is worth it to learn. After this fantastic course by Andrew, I am feeling more positive and motivated. Thank you Andrew and Coursera

By Andy W

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Nov 6, 2023

Another excellent learning materials on neural networks, decision trees, and model performance evaluation by Andrew Ng and his team. Andrew has a way of teaching difficult concepts for us to understand, especially the machine learning math intuitions.

By Pranjal R

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Jul 27, 2023

The theory and concepts were explained really well. I however believe that if we could have video sessions for labs as well, it would have been better. Overall it was an amazing experience and I got to learn a lot of core concepts of Machine Learning

By Octavio P

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Jun 7, 2023

An excellent course that gives me the foundational and most important concepts on deep learning, this course shows me that the deep learning isn't a black box that only a few people understand, i can understand and i can innovate in this field also.

By Samuel L B

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Oct 24, 2023

This course allowed you to acquire robust knowledge about neural networks, their metrics and qualitative analyses. Furthermore, it was possible to learn about other alternative learning algorithms such as decision trees, random forests and XGboost.

By William E

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Sep 16, 2023

Another excellent class by Prof. Ng. I very much appreciate the clear explanations, careful introduction of concepts to ensure they build on each other, and even his jokes. My thanks to him and the whole team that built this series of courses.

By Danish B

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Feb 7, 2023

absolutely awesome. This course and the specializatio is must to get into the mathematics of machine learning, Andrew Ng sir has a unique style of teaching and holds you right through the course. This is must to know how machine learning works.

By Cameron W

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Mar 8, 2023

Another fantastic course by Andrew Ng and Stanford/DeepLearning.AI. Focus on neural networks and decision trees, with great practical advice for building machine learning systems in a real-world setting. Can't recommend these courses enough!

By Diana K

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Jul 15, 2022

It is fascinating course! I want to thank Andrew Ng and whole team for very good explanation. Everything was clear, and especially week 3 is full of useful advices. I really enjoyed during this course. Thanks a lot. I am waiting for course 3

By Lucas D

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Nov 14, 2023

Great pedagogical skills. Andrew makes sure to keep the pace sustained, but each notion is clearly explained. I'm complementing my learning with some competitions on Kaggle to make sure I put into practice some of my newly acquired skills.

By Hamed A A P

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Nov 16, 2022

The content of the course is pretty good and interesting for someone with zero or basic knowledge in the field. Some basic level of programming is required but not that much. You get more from this course if you follow the specialization

By Aya B

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May 12, 2023

What I like most about this course is that it took me step by step through equations and algorithms. It gave me deep understanding of different machine learning algorithms and the practical issues I can face when applying these tools.

By Timothy Z

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Oct 3, 2022

This course is incredibly well-structured, have great exercises that are practical and go along the videos very well. Huge respect for Dr. Andrew Ng and all the participating members who contributed to the development of this course.

By Jeffrey G

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May 1, 2023

Great course! I don't see how anyone can launch into machine learning without Andrew Ng's course from Stanford University. I am grateful for the lessons and the team that put them all together! Thank you very much! God bless you!

By phaneendra r m

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Aug 27, 2022

This course has given very good insights into various supervised learning alogirithms like neural networks, optimization of neural networks, tensorflow adoption, How to address issues of overfitting / underfitting and Decision trees.

By Chavhan Y N 5 I M S a T

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Jun 21, 2023

Really Helpful!!

Learned a lot about artificial Neural networks and model building. With optimizing and Activation functions and additionally learned new model like Decision Trees, Random forest and XGBoost Regressor and Classifier.

By Bhavesh D

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Feb 18, 2023

It was an excellent course to learn while completing the specialisation. But I need some statistical concepts added, such as entropy and loss difference. Please add their note for a better understanding of the different concepts.