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.
By Victor N
•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
•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.
By Aquib V
•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
•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
•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
•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 Honore I
•Apr 18, 2024
This showcases key points and advice on building a good model via optimizing model hyperparameters hence making the learner able to debug and tune the model for the particular situation.
By Abhijeet A D
•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
•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
•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
•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
•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
•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
•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
•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
•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
•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
•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
•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
•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
•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
•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
•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
•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
•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!