Really well done. The instructor not only obviously knows the material backwards and forewords but evidently also great teaching practices. Each module is one idea explained clearly with good visuals. He reviews and summarizes material. If you want to understand the theory and innards of machine learning algorithms this is a great course for you.

Overall, it's a good course! But I strongly suggest that the title of the course should be changed! It is NOT introduction at all... It goes deeper like Deep Learning, Neural Network, CNN, NLP and PyTorch, and even further like reinforcement learning, Q learning for the bonus lessons. Again, it is a good course, but the title seems confusing.

Very informative course to understand the basic concepts of Machine Learning. I still have to go through the Python part of the course that was not mandatory for the completion, and I see that there are two more weeks of lectures available under this course. But still the first four weeks were very useful as a starting point in this area.

The Introduction to Machine Learning course on Coursera provides a solid foundation for beginners who want to understand the key concepts, techniques, and real-world applications of machine learning. The course balances theory and practical skills, making it accessible even to those with limited background in programming or mathematics.

It's a really great course to introduce to machine learning. The concepts were well explained, without deep into mathematical demonstrations. Also, I think useful the brief tutorial of Python at the beginning, mostly for whose haven't a good base in Python. But the assignments seem a little bit difficult with respect to the theory.

Really well explained! It was very interesting to learn and as it was from the start it was easy to understand as well. Just one suggestion for the programming assignments also provide the solutions and explain how the coding have been done as understanding that is a bit difficult. Else it was a great course and i really loved it.

Very well explained with programmed slides and excellent narration of each topic. Clears the very basic concepts of Logistic regression, Multi layer perceptron, Convolution Neural Networks, Image and text processing. Each week progress gives more confidence.Thanks For giving me the opportunity to be part of this programme.

This was my first serious and systematic study of machine learning. By this course, I also started learning Python which I wanted to do a long time ago. Though I am still an amateur, all the knowledge I've got from the course is really helpful in the today world. Thanks Coursera and Duke for bringing us such good courses.

Really enjoyed the course - it was a bit heavy and required getting used to (also this was my first time doing a course online) but the course has a nice rhythm and it was excellent once i got the hang of it. Very useful course to get an insight into the world of Machine Learning and to increase curiosity and interest.

This course provides a better understanding to the Machine Learning. The conceptual part gives us good knowledge about this field. The faculty is also good. I was late to submit the grading parts still, they didn't bother about this. I appretiate them to provide me a certificate and knowledge without any fee charges.

Extremely well structured course. The instructors are knowledgeable and their teaching method is easily interpretable. The course mainly focuses on ML algorithms and how they function , without going too deep into the mathematics , although some mathematics knowledge is surely required before taking this course.

One of the best courses of ML it doesn't just kept me busy with the "types" of ML like other courses instead it gave me real-world topics and state of art solutions and really changed my perspective of ML.

I got to know that theirs ML outside of just the definition of supervised, unsupervised learning etc.

Probably the best course about giving you a general idea about Machine Learning and Deep Learning. If the Machine Learning course by Andrew Ng is considered a bible in the Machine Learning world, this course is a very distant second to that. I thank Duke University for creating such an amazing course.

this course was very enlighteninng for me. though i faced lots of challenges in understanding the tenets of pytorch and python programming language. i am very glad that i had the courage to take this course and achieve what i have achieved. this has motivated me to pursue a career in data science.

Lectures on the various areas of the subject is very descriptive, clear and understandable. Also the course has provided basic and good knowledge of almost all the areas of the Machine Learning.

It is better if there are practical examples of coding step by step in Labs using Python language.

I love the way Professor Lawrence Carin systematically introduces each topic, explains it, and then leverages that topic to move to the next one. It was natural :) and helped me motivated to stay on the course. Thank You Coursera, Duke University, and the team for creating this course for us.

A fantastic introductory course to Machine Learning, which with its clear and didactic teaching method, makes such a complex subject easy to understand.

Covering topics as interesting as Image Analysis and Natural Language Processing, from both a theoretical and a practical perspective.

Before, I found Machine Learning as one of the most complicated subjects that I had in college but because of this course, I understand it more clearly. I must say that I've learned a lot. The instructors explained it so well that even a beginner could understand it. Worth it!

i really like the slow paced yet highly informative way this course has been presented.My only suggestion would be to give a practical demo with tensorflow as the instructions given are very much confusing and thanks for the course!!

really appreciate the professors efforts :)

Great course, It gives one of the best explanations about Machine learning by making the complicated concept simple and going deeper into the concept to create more context in students' heads. I wish this course included more TensorFlow practice. Overall, It's great.

I have completed The course" Introduction to machine learning" The videos and the texts about this course were easy and understandable The teachers about this course are great their accent of English language is good. I received the best knowledge about this course.

It was a very useful course it mainly tells about the introduction of machine learning, they have explained step by step which was very easy to understand, also refered more example for easy undertanding, a must do course if you are interested in machine learning!

Great lectures by great tutors. They know how to explain complicated stuff easily. I gained basic knowledge of Machine Learning, and it turned out fun. Only thing I had hardship was Pytorch and I am planning to do exercises at the end of watching all the videos.

this is a great intro for machine learning, the lead professor have a knack of teaching complex concepts in a step by step, progressive fashion. As student, I find the subject become accessible to learn because of the how it was taught, this is a great course

This course is focused on neural network knowledge. The instructors convey the complicated concepts in a clear and understandable way. Highly recommended to people who have knowledge in other machine learning techniques but are lack of NN specifically.