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

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.

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

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.

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.

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!

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.

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.

It is explained in a very straightforward way. The code is very hard to write/understand for someone who does not have a Python history but some of it can also very intuitive, e.g., the computation of functions. I like the course.

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.

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

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.

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.

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

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

The course covers the math, implementing the algorithms, and working with current libraries in a format that is not overwhelming while also teaching debugging and best practices. It is the best online course I have ever taken.

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

Solid course! Mostly theoretical and the practical assignments focus on implementing algorithms from scratch. This is great for building a deep understanding that can later be supplemented by more technology-oriented courses.

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

La metodología de Andrew NG, permite comprender conceptos bastantes complejos, en especial para quien no tiene fundamentos de programación. Los ejercicios, permiten afianzar los conocimientos que se adquieren en este curso.

Ha sido extraordinario. Está construido para entender los distintos aspectos de la formación. En cualquier caso, es necesario practicar mucho los contenidos aprendidos en los laboratorios para hacer realidad el aprendizaje.

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.

It was great option, to learn basics of Neural Networks and tree based models. You shouldn't be worry that if it basics it is not good, actually it is the foundation, and you should apply. Thanks again to all the staff

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!

Taught at a very accessible level of detail, and Professor Ng does an excellent job of providing motivations for all tools that are used, making the material much more meaningful for learners with applied interests.