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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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126 - 150 of 800 Reviews for Advanced Learning Algorithms

By Aquib V

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Mar 1, 2024

Amazing content, perfectly curated topics with hands-on labs, although Assignments and labs could be more challenging based on certain level students who already have programming backgrounds.

By Lidia S E

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Aug 8, 2023

Very good course to understand the basics of Machine Learning at a deep level. I really enjoyed taking this course and all the explanations and exercises provided. I cannot recommend it more!

By Jianhua M

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Jul 18, 2022

The elementary method such as Linear Regression Model more meaningful than the hard method. Dr. Andrew Ng lectures are a very good combination of profound thought and perfect form. Thanks!

By Djordje K

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Jun 27, 2023

Beautifully done course! I'm finishing my master's thesis in the field of machine learning and this certificate was a great thing to see how things work behind the scenes. Thanks Andrew Ng!

By Abhijeet A D

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Feb 28, 2024

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.

By Francisco R

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Oct 19, 2022

A great course ! I found that important intuitions and techniques for "tunning" and debugging neural networks are clearly explained. The labs and assignments are also really helpful.

By Sachin B

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Sep 29, 2022

Best course for beginners and it helped me immensely to learn new things in Neural Networks, DecisionTree, and What is the problem related to the Model overfitting and underfitting.

By Bruno R S

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Jul 30, 2022

This course is even better and more accessible in this new format. This instance is quite complicated, requires some good python/numpy knowledge but the math is not so overwhelming.

By Vagheesh M K

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Jan 9, 2024

Perfectly curated course. The Best explanation from the Best of Sir Andrew Ng. I cannot recommend this course enough. Its a mandatory course for any DS/ML/DL/AI aspirants!!!!

By jonathan l

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Aug 1, 2023

Great course! It would have been even better if there were some optional practice we could do. E.g, just some Kaggle links with possible answers would have been good enough.

By Namhoang

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Dec 23, 2022

Andrew Ng. and team have successfully deliver another amazing course, his teaching style is very efficient and keep student/learner from getting lost in the random forest :V

By Vaibhav C T R

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Oct 9, 2022

The course was well designed to give all the basic insights about the advanced learning algorithms.

I sincerely thank Andrew Ng sir and coursera for bringing such courses.

By Michel R

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Aug 2, 2023

I loved the course. Its hard to go through all the topics as a non mathematician, but with my CS background it worked well :-) Thank you for creating such great material.

By Larry_Liu

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Oct 9, 2022

Great course! Compared to the previous version, this version deletes the backpropagation in the neural network and adds the tree model, briefly introducing some knowledge.

By Louis S

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Sep 17, 2022

The course on decision trees, random forests and XGBoost is the perfect balance between summarizing key concepts and providing intuition of the maths behind the concepts.

By Sourav S

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Oct 9, 2023

The concepts of Neural Networks and Decision Trees have been explained thoroughly. The programming assignments further elaborated the implementation of these Algorithms.

By Sai R

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Mar 17, 2023

This course gave me the right idea about Advanced Machine Learning Algorithms and I've learned a lot of new skills across this course and I highly recommend this course.

By Will H

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Jun 19, 2022

An excellent update to the previous Machine Learning course. Goes into excellent detail about each algorithm and the practical notebooks are useful and easy to follow.

By Mo B

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Jul 30, 2022

The course is very comprehensive and all the concepts are well explained. One piece that's missing is back propagation. other than that, the course is just amazing.

By George O

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Nov 7, 2023

I really had fun working through this course. I can't wait to take the final course of this specialization. Thanks a lot Deeplearning.ai, Andrew Ng, and Coursera.

By Omid E

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May 11, 2023

This course widened my view of machine learning algorithms, and it has lots of implementation for research fields of water resources engineering and management.

By Chris M

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Apr 10, 2023

The Notebooks were designed excellent!

Concepts from the lectures were presented in an easy-to-understand manner.

This course was, overall, challenging and fun!

By Badr T

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Oct 26, 2022

Very engaging course. It made neural networks accessible and understandable. The hands on labs gave a good foundation on how to use TF for creating neral nets.

By Vincent D

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Mar 24, 2024

Wonderfully taught by Professor Ng, well paced with the easy and hard topics, pushing the mind to the limit but also keeping you hooked with interesting stuff!

By Oluwalana O

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Dec 29, 2023

Covers the fundamentals in an interesting and easy-to-understand way. The practice labs and optional labs also strengthen your understanding of the material.