I am beginner in Machine Learning, this course and the instructor made it so much clear and easy to understand Machine Learning concept that now for me it`s not an alien concept. Don`t hesitate to opt for this course, though there is more emphasis on mathematical side I think its pretty to understand once you know the concept and its not too much complex either. I would 100% recommend any person to take this course if they are interested in Machine Learning.

El curso de aprendizaje supervisado fue excelente. Las explicaciones fueron claras y profundas, cubriendo tanto la teoría como la práctica de algoritmos clave como regresión y clasificación. Aprendí mucho sobre los fundamentos matemáticos y la aplicación práctica de estos algoritmos en proyectos reales. Las tareas y ejemplos prácticos me ayudaron a solidificar mis conocimientos y a aplicar lo aprendido de manera efectiva. ¡Definitivamente merece 5 estrellas!

I absolutely loved the teaching methodology and the quality of the content that was provided along with the practice lab. It was challenging and that's what makes it one of the best courses in the ed-tech market. I would highly recommend it to my friends and my fellow learners. I would like to express my sincere gratitude to Dr. Andrew Ng and Team for designing such a course that makes you the master of machine learning algorithm form basics to advanced.

Thanks Andrew for explaining the concept in details and also making it easier for us as beginners to understand. The course structure is very elaborate and the optional labs has helped me understand all the topics covered better in comparison to books on Machine Learning. The optional labs also has graphs where we could visualise the equations and logic implemented and even we can play and modify the equations and values to understand the topic better.

the first step is done!

special thanks to Andrew and his team and also Coursera to make this perfect course.

this course is really motivational and you won't get tired during the course, if you are hard work it guaranteed you will be passed it.

the content of the course is a combination of theoretical machine-learning mathematics that teaches in the simplest way thanks to Andrew and the coding section that help you to use these formulas in practical problem.

This supervised ML course provides a clear and concise introduction to key concepts like regression, classification, and model evaluation. It covers essential algorithms, including linear and logistic regression, with an in-depth look at regularization. The hands-on labs, practice quizzes, and real-world examples make it easy to apply the theory to practical problems. A great choice for anyone wanting to build a strong foundation in supervised learning.

The concepts taught in this course are relatively easy to grasp. However, I found the algorithms portion to be challenging, possibly due to my lack of foundational knowledge in linear algebra and calculus. Nevertheless, with dedication and perseverance, it is certainly possible to understand them. It took me about a month to complete the course, but I believe it will take me years to fully comprehend and internalize the complex concepts presented.

Such a good course! I did try out some ML courses on other platforms, but this one really made me stick till the end. Also, I love coursera's grading system and the way it asks us questions after every lecture. It really keeps the learning cycle healthy. I loved Instructor Andrew's explainations and vivid example on most of the concepts. If anything, I love the fact that this course generalizes a lot of the concepts into some daily life examples.

I acquired a good amount of knowledge by doing this course. I haven't done any machine learning course before, so the topics covered in this course helped me to understand the process behind the gradient descent algorithm and how it is applied to solve regression and classification problems. The programming assignments were good for understanding the code behind the functions that we generally use to solve regression and classification problems.

I really enjoyed the courses that Prof. Andrew taught. He has a special talent for explaining things in a way that's easy to understand. I learned a lot from him and it was a great learning experience. I think it's important to have teachers like Prof. Andrew who can make learning fun and interesting. It motivates students to learn more and enjoy the process of learning. Overall, I am grateful for discovering the courses taught by Prof. Andrew.

I highly recommend this course to anyone interested in learning about supervised machine learning. The instructor, Sir Andrew Ng, does an excellent job of explaining the concepts in a clear and concise way. The course covers a wide range of topics, including linear regression, logistic regression, decision trees, and support vector machines. There are also several hands-on projects that allow you to apply the concepts you learn in the course.

If you're looking for a comprehensive introduction to machine learning, I highly recommend this course. Not only does it teach you how to hard code linear regression for regression and logistic regression for classification, but it also covers techniques to avoid overfitting by adding a regularization term. This course is essential for anyone interested in delving into neural networks, as it lays a solid foundation for further exploration.

Nothing has changed from the previous course of Machine Learning. Equivalently fluidic and exciting like the previous course. Adding python has helped a lot to progress through this course. Mathematically implementing MATLAB/OCTAVE for the functions was slightly difficult but python makes the work a lot easier. Thank you for this wonderful course. Looking forward to learning a lot more from the remaining 2 courses in the specialization.

I saw my self on an adventure from having no idea about supervised machine learning to now being able to create and trainsupervised ML algorithms myself. I am now even looking for datasets myself and practicing my learnt skills. A big shout out to Andrew for this course and for making it this easy to learn ML. I love the way you teach and how clear you are in teaching. What an adventure I have had taking this course! Thank you so much.

This course, the first in the Machine Learning Specialization, introduced me to the fundamentals of machine learning and offered insights into not only the theory but also the practical applications that will drive real-world solutions. As before, it was a privilege to learn about AI from Andrew Ng. Gaining hands-on experience with essential models has been invaluable, and I look forward to applying these skills to future projects!🤩

I am a complete novice with a medical background and no programming experience whatsoever, but after completing this course I have a clear understanding of this topic as well as the code required to implement such tasks for similar data sets. Andrew is a fantastic teacher! I have moved through other similar youtube videos on this subject and in comparison I find this course excellent as it explains the concepts clearly and concisely!

The information was divided into interesting and concise videos, and everything shown was explained in order to be understood. It definitely explains the knowledge greatly and Andrew is a versed speaker and teacher! Depth was missing in regard to the fundamental mathematics and statistics, but it is not a focus of this course, but it would be good to still have access or additional information for people who are interested in such!

Though the course is divided into only 3 weeks but I felt like completed a 4-week course, since there are many videos and practices(mostly optional). As usual, the explanation and instruction of Andrew Ng. is really amazing, it should feel like lots of abstract concepts and terms but he did a great job breaking it into smaller parts and show the learning how things are done. Thanks Andrew Ng. and team for making such a great course.

This course is surprisingly excellent. I find the lectures by Prof. Ng to be easy to follow, extremely informative, and occasionally challenging. I do appreciate this newer version of the course that uses jupyter. I tried the older version with octave and I got bogged down dealing with the software installation issues, and never finished that version. I would highly recommend this course to anyone interested in machine learning.

AI 입문에 대하여 최고의 강의입니다. 강의해주신 강사님께서 이 짧은 강의에 핵심만 담기 위해서 얼마나 많은 고민을 하셨는지 그리고 우리의 기억에 남기기 위한 적절한 내용들을 담기 위해서 고심을 하셨을지를 생각 하면 존경스러울 따름입니다. 특히 여러 책으로만 공부를 하다 보니 이해가 안가던 부분들 (언어적으로 or 개념적으로) 에 대하여 거대한 흐름을 잡을 수 있는 강의였습니다. " 정말 잘 아는 사람은 쉽게 가르치는 사람이다" 라는 말이 아깝지 않은 완벽한 강의입니다. 대신 그 이해를 코딩으로 구현하는것은 우리들이 해야할 최소한의 노력이라고 생각합니다. 코딩을 못하더라도 포기하지 마세요 코딩 테스트 안에 답을 모두 넣어주셨습니다. 흐름만 파악해도 최고의 강의이고 이것을 프로그래밍으로 구현 하는 연습을 충분히 한다면 이 세상에 하나뿐인 완벽한 강의입니다.

The Course is really Awesome and it has improved too much from the old one, the graphs and the lab were very helpful and gave me the intuition of all the complex equations and models used in the course, Also the teaching method was really great for beginners and the instructor didn't jump on topics but was moving step by step, so overall i really enjoyed the course while learning and i'm looking forward to start the next course.

Very advanced class for someone without python knowledge. It took me about 3x as long to understand and complete this as my expected date. Eventually, I was able to understand almost everything. Pay very close attention to the lab coding because without warning you;ll be asked to replicate that code even though its never mentioned in the videos. This threw me off for awhile but the information is great and the teacher is great!

This course is just the right way to get started with machine learning. Andrew's friendly way of explaining complex concepts makes it much easier to understand. The assignments aren't so punishing that you can't progress, but not so easy for you to pass them without actually getting a grasp of what is being taught. I've also found the tips in the practical assignments really helpful when needed. Totally recommend this course!

This has been a phenomenal course and has immensely helped me in my journey learning about AI and ML. Though people often struggle with learning algorithms and the various terms related to ML, this course is far different from others as it can be easily understood by everyone who learns attentively even not familiar with ML. If you're just beginning your journey in ML, I highly recommend this course over thousands of others.

This is a great course! Dr Ng takes you through the required concepts in a manner that makes it easy to understand. Of course it may sometimes take a couple of reviews to really get to the intuition of it all. Also I feel that knowledge of basic python is a must to do this course. I would not have been able to get through it without having that foundation. Can't wait to start the second course of the series! Thank you Dr Ng!