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Absolutely wonderful course. The learning sequence, the topics covered, the learning pace, the hand-on labs, Andrew's explanation... could not have been more perfect. We do all kinds of professional learning throughout. But I have to say that I actually enjoyed learning with this specialization course. I was hooked to it and binge-learnt.

Amazing teaching style and explaining the hard part of Machine Learning. I love the way that Andrew simplified the complex concepts and make them really understandable. The best part of the course which would be the main reason I recommend the course to other is, the balance between the math behind ML and the practical part (coding).

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With this course, I learned important concepts about models such as neural networks and decision trees used in supervised learning. The course also provides some important informations about machine learning applications used in real life. I recommend this course for those who want to get started in the field of machine learning.

The content is very interesting and provides an excellent description of the subject matter.

In terms of teaching dynamics, Andrew is an excellent teacher. Congratulations and may you continue to be successful and continue to promote courses of this level.

Thank you for allowing me to have the opportunity to acquire this knowledge.

It is wonderful to learn from Professor Andrew Ng. Loved the jokes about Random Forest. I am grateful for the focus on elucidating foundational concepts in lectures, and the awesome (simply awesome!) optional labs -- which are rich with programming skill-builders. Ready to get started on the next course in this specialization.

An amazing introduction to neural networks. If you didn't take the previous course, you'll still have a lot of fun learning, and you will probably be able to apply everything that you have been taught in this course. Absolutely fantastic. I recommend you take it as soon as possible if you have an interest in Machine learning.

A good Continuation from the first course, it uses the solid foundations gained previously and aplies them on Neural Networks, Decision Trees and Theory on when and how to improve a learning algorithm. Andrew explains difficult concepts in an easy way jus words of thank you to all the team for sharing this knowledge with us

I absolutely love how lecturer Andrew Ng guided me through the concepts and algorithms of Machine Learning. The simplistic way he explained the functions and concepts really showed that he's the top, the leading expert in this field. I'd love to thank him personally for this amazing learning experience. Andrew, you rocks!!

This course was a really good experience for me, I learned so much! Thank you Jesus for allowing me to stumble upon this course. Try it out, you will love it.

A huge thank you to Andrew Ng and the team behind this specialization, you guys did a really good job. May my Good God Bless you.

Thanks again

Bamilosin Daniel Eniola

Being a beginner in Machine learning, I learnt a lot of things applying and understanding the basics. I liked the way different ML models algorithm like Xgboost and Random Forest are taught, making it more interesting and inducing the curiosity to learn and explore more about the deeper intricacies and concepts in it.

A truly wonderful course! Between this and the Supervised Learning: Regression and Classification, I feel that many gaps in my knowledge were addressed. It provides the Data Science and theory behind the python that I needed to get a sense of what the commands were doing. Many thanks - you're truly exceptional!

As per everything Andrew Ng, very intuitive and easy to understand.

If you're wondering how the backpropagation equations came to be though, check out the videos I made working it out (my way of giving back)

Link to videos (with 糖心vlog官网观看's approval to post): https://www.youtube.com/channel/UCqvDiAJr2gRREn2tVtXFhvQ

Great course for learning fudamentals of neural networks and decision trees. Andrew Ng is the best instructor I have ever had in my entire education life. I hope he keeps developing open-access classes like this in the future as well. Thank you for those who contributed to bringing this awesome class together.

Andrew Ng is such a great teacher and scientist! He is also very kind, engaging and most importantly he wishes to disseminate the great tool and knowledge of AI and computer science to the world! I am very pleased and happy that I did this course with Andrew Ng and learn so much about machine learning and AI.

Very challenging and really requires you understand the Python code to get the labs to function correctly. The strictness of the indentations for Python and being off by one space without a prompting editor was problematic, but once seen or you know about it you can correct easily. Really liked the labs.

I had done some courses like this in the past, but it's been 5 years since that time so I wanted to refresh my knowledge. I've got to say that this is by far the best beginner-level course of this type with the teacher giving lots of intuition, something that I find lacking in most other computing courses.

I simply love Andrew Ng's teachings. He makes every topic so easy to understand, while also highlighting the importance of in-depth study.

The labs are great. Interactive visualizations of how transitions take place after every step of algorithm is the best part.

Thanks a lot for creating these courses!

I'll definitely recommend the course to anyone starting out, as it helped breakdown hard concepts into understandable bits. Kudos to our favorite tutor, Prof. Andrew Ng for taking his time to do this. I've been imparted with enormous knowledge, and looking forward to what the future has in stock for me

Although i am not good at Mathematics and neither i have prior knowledge of Mahine Learning algorithms but This course got me from very beginner level into depth of neural network and made me to further explore this field. The course is organized in such a beautiful way so that anyone can understand.

Excellent content to learn how to model, evaluate and implement your first neural network in TensorFlow. Andrew is an excellent and passionate instructor. The assignments in Jupyter Notebooks are very well-curated and effectively help to understand the nuances of the theorical concepts. Thank you!

The ideas are explained in a very practical and understandable way. No deep mathematical background is needed to complete the course. Just the high school level and some knowledge about Python programming. Very recommendable course to get a general idea about decission trees and neural networks.

very good course, teach complicated things in simple language which can be easily understood by people. The online practices are well designed. They helped me to understand and memorize the concepts and the algorithoms. Thanks to Andrew and all other contributors who built the course.

He aprendido Algoritmos Machine Learning , con las clases , videos, laboratorios con Python, Tensorflow , para profundizar conceptos , conversas (chat) con el Coach , ello me permiti贸 desarrollar una s贸lida base en el dise帽o e implementaci贸n de algoritmos de aprendizaje autom谩tico.

The course gives a good introduction about neural network, gives some usefull ways to evaluate and select the appropriate model among different ones and finally, explain decision trees and tree ensembles. Andrew is great, teach very well and it's easy to understand. Very recommended.