ED
Aug 22, 2020
Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.
WG
Mar 18, 2019
Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.
By Xie F
•Oct 10, 2018
Something is repeated from previous part, And one vedio is black, Wish editor can crop or modifiy
By Dieter D W
•Sep 10, 2018
I stand by the words of Andrew: you will not find much of this in the textbooks yet. Great stuff!
By Anirban C
•Jun 11, 2018
Will need to revisit these lectures time and again in future while working or real life projects.
By Seha I O
•Apr 8, 2018
Brief, yet full of practical details useful to optimise the ML approach at the onset of projects.
By LakshmiNarayana B
•Feb 9, 2018
This is very good source to improve my ml algorithm performance and how to construct ml network .
By Chetan T
•Dec 12, 2017
I liked the insights into how to approach problems, not something I've seen elsewhere. Thank you!
By Jiameng P
•Oct 25, 2017
It only takes you a short period of time to get a lot of professional experience, thanks, andrew!
By Henry V
•Oct 9, 2017
Very good, useful, and important high-level summary on how to approach and structure ML projects.
By Prakash C C
•Sep 23, 2017
First time i have learnt such practical aspects of ML which are very important for live projects.
By Daisuke N
•Aug 19, 2017
Great practical course, it helps so so so much! I can save a lot of my time. Thank you very much!
By ZaRX 1
•Jun 4, 2023
Each topic has been covered in depth and with clarity. Thank you for this specialization course.
By Mohammad R A
•Jan 30, 2023
this course better have programming assignment
programming assignment is to helpful for learning
By Felipe L
•Dec 18, 2020
Great course for those who are unsure how to proceed while working on a machine learning project
By mahdi g
•Aug 14, 2020
I learned a lot of important tips from this course that would help me in real-world ML projects.
By Jose I L
•Jul 21, 2020
I specially loved the Peace case of study because I hate birds, so it was very motivating to me.
By IT-092-Deep M P
•Jun 30, 2020
Very important course. Thanks to all teachers. The course is designed well so we can learn fast.
By Andrés E F C
•May 15, 2020
Very good course to understand the process of building a Machine Learning/Deep Learning project!
By Shahab M
•Mar 4, 2020
Excellent practical strategies for real-life scenarios. Any ML engineer should take this course.
By Jorge B
•Apr 15, 2019
Great content on how to tune and adjust your neural networks for a proper deep learning solution
By Zahid S
•Mar 23, 2019
A good course to go through the main perspectives about machine learning projects. Helped a lot.
By Suresh S
•Nov 22, 2018
This course is as equally important as understanding the nuts and bolts of the algorithm proper.
By Tejashwi S
•Jun 19, 2018
This course was an amazing learning experience for me and thanks to Mr. Andrew , he is the best.
By Jiahao Z
•Apr 19, 2018
Thanks for sharing this valuable experience for tuning machine learning projects. Realy helpful!
By Colby H
•Mar 18, 2018
Good high level insights to making your thought processes more efficient to not waste man hours.
By David B
•Oct 11, 2017
Invaluable insights from the point of view of a ML practitioner. Easy to understand. Priceless.