DW
19 февр. 2016 г.
Fantastic intro to the fundamentals of machine learning. If you want to take your understanding of machine learning concepts beyond "model.fit(X, Y), model.predict(X)" then this is the course for you.
CS
15 июля 2019 г.
The course will give you the incites to understand the data driven mathematical functions to write softwares that can behave or change its behavior, based on stimulus (data).\n\nAndrew Ng is excellent
автор: Jorge L R C
•5 июня 2019 г.
Even being for a "old" course, it has the very best ground of concepts and techniques of Machine Learning. I am very much satisfied and have learned a lot.
автор: Danny F B L
•12 февр. 2020 г.
This is definitively an excellent course for beginners. I am graceful with Andrew Ng for the dedication he gave for building this course. Congratulations.
автор: Ajay T
•29 июля 2019 г.
Excellent course. Discussion forum help from the mentors was super in the first half of the course but towards the end the mentors did not participate
автор: R S
•15 мая 2021 г.
Hi,
After this course I am feeling very confident and now can confidently make changes to my algorithms.
Thanks to Andrew for setting up these courses.
автор: Yash G
•28 янв. 2022 г.
Love the course, despite its content being somewhat old, it's still relevant and used frequently in today's ML day and age. 10/10 in my opinion
автор: Carlos A M A
•18 окт. 2020 г.
Excellent course to teach the fundamentals of ML and AI. It is the best course and I recommend making the programming exercises a but longer!
автор: Leonardo
•22 июня 2021 г.
Thank you Andrew and all other involved in this outstandiing course. I also thank you for giving me the opportunity of the financial aid.
автор: Sohan j
•6 июня 2019 г.
It was an amazing experience in learning Machine learning. I learnt a lot from this course. I thank the instructor, Prof. Andrew.
автор: Anish K A
•22 февр. 2019 г.
Excellent course. I am not an expert in mathematics, but this course gives me a very good understanding of ML and algorithms.
автор: Joydeep S
•7 нояб. 2018 г.
Excellent course. Anyone interested in Machine Learning should definitely take this course. Thanks Andrew for making this.
автор: Cosmin V N
•7 авг. 2015 г.
Amazing course. Complex topics explained in a way that anyone with a rudimentary understanding of math can follow.
автор: Naveen K
•9 апр. 2020 г.
One of the best Machine learning course :) Andrew's way of teaching is really a masterpiece :) Thank you Coursera
автор: Luka B
•30 янв. 2019 г.
Great course, only a bit updated. Would be wonderfu if there was an update (or additional week of two) for 2019!
автор: 黄生
•1 апр. 2021 г.
Thank you to the course team! Your efforts make the world more better , Let's make things better and better !
автор: Mai S
•6 июня 2019 г.
Thanks Andrew for this informative course. I am looking forward to taking deep learning specialize as well.
автор: Nguyễn H T
•5 янв. 2019 г.
This course is absolutely amazing and suitable for ones who want to begin to study about Machine Learning.
автор: Shilpa
•15 сент. 2021 г.
Highly recommended for those who have passion or interest in learning machine learning. Neatly presented.
автор: Lukas C
•31 окт. 2020 г.
VERY GOOD!!!! BEST CLASS TO LEARN Machine Learning as a beginner and easy, pretty concise intuitions.
автор: Anton S
•21 мар. 2019 г.
It's a good way to get an understanding of machine learining principles and to improve your English.
автор: dinh
•15 дек. 2018 г.
Great course on Machine Learning. I learned a lot!
Thanks to Professor Andrew NG and all the mentors.
автор: Sarbaseesh G
•1 мая 2022 г.
it gives you the adequate support for your little baby steps to walk into the wonderful ML world
автор: Yu-Shih C
•4 янв. 2019 г.
Great introductory course for Machine Learning using MATLAB/Octave. Highly recommended.
автор: syh
•9 февр. 2020 г.
从机器学习新人、小白,通过这门课程充分理解了机器学习的原理,掌握了一些机器学习的技巧,并能够根据学到的知识,举一反三,应用到更复杂的机器学习算法的理解中。总而言之受益匪浅。
автор: runner_yang
•25 июля 2019 г.
Thank you sincerely! I have learned a lot through this course. I love Ng and coursera!
автор: Zihao Z
•10 февр. 2020 г.
8个exercise出的非常好,程序中给的note和hint有助于理解计算过程、加深记忆。
吴恩达老师英语很有亲和力,对于我这样的英语听力一般的人来说非常友好