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.

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.

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.

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.

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.

Really good course for anyone who wants to learn about more advanced algorithms in machine learning. Andrew teaches so well that it never felt like the algorithms are advanced.

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!!!!

I started this course with zero knowledge of machine learning but now, after completing it, I have gained so much knowledge about each machine learning model. Amazing course!

Absolutely fantastic! Andrew is an amazing instructor. Thank you to Andrew and his team for taking the time to share their knowledge in such a well structured and clear way.

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.

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

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.

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.

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.

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.

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

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.

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.

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.

You would be hard-pressed to find a better introduction to implementing, training and evaluating Artificial Neural Networks and Decision Trees anywhere else online.

This course easy to understand for complete beginners, has perfect pace and best part is you get to implement theory in code and visualize everything for yourself

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.

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

The Notebooks were designed excellent!

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

This course was, overall, challenging and fun!

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.