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 permitió desarrollar una sólida base en el diseño e implementación de algoritmos de aprendizaje automático.

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.

Very good explaining fundamental concept which perfectly hit the balance of theoretical and keeping the idea simple. This helps digesting the concept easier. Quizzes and project labs are outstanding and really hit the level needed to check the understand of the concept to student.

After completing this course, I have confidence in my ability to handle supervised machine learning projects. It was great! Andrew Ng is a fantastic teacher, everything was clear and easy to follow. I absolutely recommend this course to anyone who wants to learn machine learning!

I'm taking the machine learning specialization as my way back to interesting and challenging studies, after years of just boring work as a software developer. I'm really enjoying Andrew's capacity to explain these topics in an easy way while drastically improving my capabilities.

The course was very insightful,.I especially enjoyed it because, aside from explaining the core concepts and algorithms in machine learning, I was taught how and when to apply them, as well as a lot of important advice regarding how to apply and finetune such learning algorithms.

This course was highly intuitive and the lectures and practice labs allowed me to understand the concepts with great ease. I also enjoyed the short bits of humor provided by Andrew Ng during the lectures. Thank you for this experience! Highly appreciate the design of this course.

Excelente contenido, conceptualmente accesible para iniciar en el Machine Learning y en Redes Neuronales. Tambén la parte de árboles de decisión fue relativamente nuevo para mí y me gustó mucho como se explicó. Infaltables los chistes de Andrew para distraer entre las ecuaciones.

I am in complete AWE. Couple of years back I took similar course, but I was unable to understand even some simple concepts like Entropy. Andrew made it pretty easy with his simplest form of explanation. The codes were a bit difficult to understand, but Hey... I just started :-)

Perfect introduction to more advanced techniques in machine learning such as neural networks and decision trees. A lot of hands on labs to experiment with and not only are the tools explained itself, but also the way you use the tools, make decisions on which model to use, etc.

I am impressed by the instructors of how they are capable of explaining things on simple terms. I knew about this algorithms explained here but I have learned new stuff that completes my understanding of them and can help me to deploy them when they do not work as expected.

The material presented was clear and easy to understand, the algorithms are explained by Dr. Ng in a manner that "you can visualize..." the logic. The programming part is done totally, you have just to follow the code.

In summary, it was a great learning experience. Thanks

Not one of the best but, actually THE BEST course one can have on machine learning to get both, theory and hands on experience for boosting their skills in this domain. crystal clear explanation with every concept being covered, hat's off to our Instructor : Andrew Ng

I think the content is great as well as the teaching method. I think that anyone, with enough time can get to understand everything. Besides, experienced ones can also learn a lot from this course. This is a must-to-do course to get into the world of Machine Learning

Understanding advanced learning algorithms never felt this convenient thanks to Dr.Andrew's. The content of the second course of this specialisation enabled me to gain a deeper intuition of how neural networks and decision trees work in the field of machine learning.

it was very good. especially for beginners who want to start their career in deep learning engineer it is the best one. anyone can understand the course if they have some prior knowledge in mathematics like derivatives, vectors and some machine learning algorithms.

It is a good course in terms of teaching concepts, but in terms of programming, the assignment expectations at the end of each week are somewhat inconsistent with the topics taught. The course teaches concepts well, but assignments don't align with weekly topics.

Excellent presentation of concepts and guidance on best practices. The instructor provides the right motivation for the concepts and the labs really highlight the finer nuances of programming these concepts. The material on ethics in AI was very much appreciated

best of the 3 courses in the specialisation but still let down a bit by the programming assignments. The original Machine learning course was more challenging when it came to graded assignments, this one less show with the hints not being hints but full answers.

Liked the explanations, steady pace and examples, clearly painstakingly learned places where students learn slower are addressed. Rather few labs in this one, but seem to cover main basics. Learned quite a bit, although taking as a refresher. Good update! Thans!