Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
YP
Jul 26, 2018
Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN鞚 鞁れ牅 鞝侅毄頃犽晫 氚橂摐鞁 鞚错暣頃橁碃 鞝侅毄頃挫暭 頃 鞁れ鞝 雮挫毄霌る 甑劚霅 氅嬱 旖旍姢 鞛呺媹雼!
SV
Feb 20, 2019
This is the knowledge in which we will get from lots of experience only, but the andrew has shared in this course which might help us in future by saving a lot of time through this course experience
1701 - 1725 of 5,746 Reviews for Structuring Machine Learning Projects
By Chenguang L
鈥Nov 6, 2018
Pretty good overview, some knowledge not only for deep learning but for all algorithm developers.
By Xie F
鈥Oct 10, 2018
Something is repeated from previous part锛 And one vedio is black锛 Wish editor can crop or modifiy
By Dieter D W
鈥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
鈥Jun 11, 2018
Will need to revisit these lectures time and again in future while working or real life projects.
By Seha I O
鈥Apr 9, 2018
Brief, yet full of practical details useful to optimise the ML approach at the onset of projects.
By LakshmiNarayana B
鈥Feb 9, 2018
This is very good source to improve my ml algorithm performance and how to construct ml network .
By Chetan T
鈥Dec 13, 2017
I liked the insights into how to approach problems, not something I've seen elsewhere. Thank you!
By Jiameng P
鈥Oct 26, 2017
It only takes you a short period of time to get a lot of professional experience, thanks, andrew!
By Henry V
鈥Oct 10, 2017
Very good, useful, and important high-level summary on how to approach and structure ML projects.
By Prakash C C
鈥Sep 24, 2017
First time i have learnt such practical aspects of ML which are very important for live projects.
By Daisuke N
鈥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
鈥Jun 5, 2023
Each topic has been covered in depth and with clarity. Thank you for this specialization course.
By Mohammad R A
鈥Jan 30, 2023
this course better have programming assignment
programming assignment is to helpful for learning
By Felipe L
鈥Dec 19, 2020
Great course for those who are unsure how to proceed while working on a machine learning project
By mahdi g
鈥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
鈥Jul 22, 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
鈥Jun 30, 2020
Very important course. Thanks to all teachers. The course is designed well so we can learn fast.
By Andr茅s E F C
鈥May 15, 2020
Very good course to understand the process of building a Machine Learning/Deep Learning project!
By Shahab M
鈥Mar 5, 2020
Excellent practical strategies for real-life scenarios. Any ML engineer should take this course.
By Jorge B
鈥Apr 15, 2019
Great content on how to tune and adjust your neural networks for a proper deep learning solution
By Zahid S
鈥Mar 24, 2019
A good course to go through the main perspectives about machine learning projects. Helped a lot.
By Suresh S
鈥Nov 23, 2018
This course is as equally important as understanding the nuts and bolts of the algorithm proper.
By Tejashwi S
鈥Jun 19, 2018
This course was an amazing learning experience for me and thanks to Mr. Andrew , he is the best.
By Jiahao Z
鈥Apr 20, 2018
Thanks for sharing this valuable experience for tuning machine learning projects. Realy helpful!
By Colby H
鈥Mar 19, 2018
Good high level insights to making your thought processes more efficient to not waste man hours.