Very good coverage of different supervised and unsupervised algorithms, and lots of practical insights around implementation. All the explanations provided helped to understand the concepts very well.
This is a great way to get an introduction to the main machine learning models. The professor is very didactic and the material is good too. I recommend it to everyone beginning to learn this science.
автор: Harshit A
•This course is a really amazing and well taught course.Andrew sir is really a very good teacher and he made the complex topics quite easy to understand with his cool examples.Moreover, the optimization techniques and advises given for debugging or improving the machine learning program were really helpful. I hope I can take full advantage of this course and build up a career in machine learning.
автор: Yan S
•Fabulous course for starters of machine learning.
Even without a solid foundation of linear algebra, calculus, statistics, one can still have a good sense of machine learning by professor Andrew's patient teaching. And the coding exercises helps me a lot in comprehending some concepts that are unclear when watching the videos.
Sincere gratitude for the teacher Andrew. Real respect.
автор: Shashank S
•This course was splendidly awesome. I am in my final year from grade C engineering college in New Delhi, India. This course helped me a lot to understand about the basics and gave me deep understanding about the field. Thanks to Andrew NG Sir who made this great website for students like us and such an best class content. Highly Recommended to all!
Thank You!
автор: Pankaj R
•Great Course to start with Machine Learning. All algorithms and technical expects are covered and explained in detail. Assignments are well framed and gives you a proper intuition on algorithms use and performance on real world data. Also appreciate the advise on debugging and optimizing algorithms on small test examples, before running on large data sets.
автор: Asmita P
•Hi Andrew,
I liked this machine learning course so much. I enjoyed doing all the assignments. I am working in IT industry. I was thinking of working in a new age technology and then my brother told me about this course as I love maths and programming.
I am looking forward to get deep knowledge in machine learning.
Thank you,
Asmita Patil
автор: Panu M
•Very eye-opening for a person with a very little knowledge of the aspects and maths behind machine learning. The exercises were somewhat difficult since it's been 15 years since my last maths class and I really haven't been doing it since. So a lot of effort really needed, but once you've done it, it feels great!
автор: Demir C
•I loved this course. Loved the way of teaching and how well structured it was. I can only recommend using the programming test cases when doing the exercises. I wanna thank Prof. Ng and the Tutors of this course. It has been a great experience. If I had the choice, I would purchase this course again, no doubts!
автор: Mehdi A
•There are a lot of courses about Machine Learning, but this one is very comprehensive and it also goes deep to the theoretical base, so you do not rely on ready-made libraries, rather you have to write your own code in GNU Octave. I highly recommend this course for everyone who wants to do ML as her career.
автор: BS
•Great comprehensive way to break into machine learning as a subject. I feel confident that this has provided the foundation I need to further explore the subject either by reading up on new topics in the machine learning area or thinking about how to apply machine learning concepts to my personal projects.
автор: ASIF N
•Found this course extremely useful to build up the basics of machine learning and its application on the real world. Quizzes and programming exercises were very helpful and apt. Enjoyed a lot while learning these complex algorithms. Thank you Andrew sir and the Course Era team for creating this course.
автор: Werner A
•It was my first time, that I have to come in contact with machine learning. This course helped me pretty much to understand the basic problems. It was a very good introduction, very well explained by Prof. Andrew Ng and I can realy recommend doing this class not only for beginners. Thanks for that!
автор: Yang M
•Majored in actuarial science so machine learning is not a new word to me. Some of the techniques are very simple such as linear regression. Andrew is so clear and organized which helps me figure out a line in between. The projects are pretty easy but sometimes need plenty of time to debug.
автор: Paul P
•This course was fantastic! I can honestly say that I learned more in this course than any course that I have ever taken. It was challenging, but doable with time and effort and well worth it! I would recommend this course to anyone interested in a rigorous foundation in machine learning.
автор: PANDAVULA A
•Awesome course,
Before completing the course I was lacking in the concepts and if I refer any documentation or some opensource I couldn't understand it well. After completing the course I'm familiar with the algorithms and I understood all the concepts very well.
Thank you Andrew NG.
автор: Liesbeth v O
•If you want to learn how to apply machine learning in a wide range of practical settings, this is the course to take! Professor Andrew Ng obviously put a lot of time and care into developing this course and preparing the excercises to provide you with a really smooth learning curve.
автор: Megil P
•Tried different youtube tutorials before, but this course was the one, that gave me true understanding about machine learning and how it basically works. I'll always recommend this course to start a machine learning journey! Thanks to Andrew NG for this course and for his effort!
автор: Francisco M M
•Excelente curso! No solo explica detalladamente el sustento teórico de los diversos temas, además propone ejemplos aplicativos sencillos que ayudan a una mayor comprensión. Y por si fuera poco toca temas algo complejos pero sin perder la excelente pedagogía.
Lo recomiendo!
автор: Jawsem A
•Andrew Ng teaching is great! He breaks complex concepts into easier to consume chunks. He not only explains how to implement specific machine learning algorithms, but how to recognize when there are issues with the models you create and how to address them.
автор: Nimish B
•I loved this course. Helped me learn about concepts specific to Machine Learning in a very interactive and intuitive manner. Working on Octave took time at first but is easy to pick up. Thank you Andrew Ng for this really well thought out curriculum!
автор: Nitin A
•Thank you for this amazing course on machine learning. Each topic was explained perfectly and concisely. I was able to learn all the basic concepts of ML and how to implement them. It would be better if python was used for the programming exercises
автор: Praveen K
•This course is very well put together from beginning to the end. The simplicity and approach towards teaching this kind of new and complex subject is amazing. I highly recommend for anyone who would like to get into Machine Learning space.
автор: Shanthan K P
•A very good course packed with the fundamentals of ML. It has given me a great overview of what ML is and the assignments were well organized. Neil Ostrove and Tom Mosher were very quick at replying to the queries and were very helpful!
автор: Tony X
•Quite good, suggest for beginners. There is no much mathematics knowledge deeply involved.
Andrew Ng used a simply way to describe machine learning algorithm. It's really helpful to understand the concept.
Thank you very much!
автор: John C
•I will just simply say that this course was awesome! Prof. Ng broke down the ideas very nicely and “de-mystified” the area of machine learning. I highly recommend this for anyone who is just getting started in this area.
автор: Glenn B
•Absolutely brilliant course and lecturer (simply brilliant Andrew!!!)
So precisely spoken; such brilliant tutorial notes, wiki, forum (mentor Tom Mosher - Thank you)
This course is better than many paid university courses.