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.
MG
Mar 30, 2020
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
By Jiajia S
•Oct 31, 2017
very useful and practical lessons from Andrew based on his years' experiences! I feel like I have learned several years' worth of knowledge from this course.
By Sourav M
•Sep 14, 2017
The content was well structured and concepts were explained in simple terms. Highly recommended for professionals who would want to explore deep learning /AI
By Masum
•Aug 26, 2020
This course is theoretical, but so much important to know about Structuring Machine Learning. After this course, one gets idea about the application of ML.
By ZHOU Y
•Jun 12, 2020
This course would be so helpful when I will meet my researching work and try to perform it better, thanks for Andres's insight for ML projects construction!
By karthic r
•May 13, 2020
This course proved to be incredibly useful to learn about the caveats and thing to watch out for while building real-world, practical deep learning systems.
By Sai P
•Aug 23, 2019
Excellent content delivered by Dr Ng.
It's the highlight of the specialization.
Found it very useful in my job as a data scientist when planning ML projects.
By RAKESH S
•Jul 24, 2019
This is one of the good course and it is the good knowledge course I like so much and it is the good course I am also implementing this course to my carrier
By Tian Q
•Jan 1, 2019
This course provides some useful guidlines for implementing a machine learning system. The practice questions really helped me understand some key concepts.
By Faiz R
•Dec 11, 2018
Very well structured course with lots of practical wisdom regarding structuring projects and managing implementation with respect to real world applications
By David
•Aug 18, 2018
Great course that blends in useful tips and tricks of the trade into this otherwise implementation-focused specialization. Andrew Ng is as always brilliant.
By Hugo P
•Dec 21, 2017
Another amazing course from prof. andrew Ng. Great and valuable insights and practical advice and tips for successful implementations of real ML/AI projects
By Ewa L
•Nov 12, 2017
Never seen before material presented on how to improve performance of deep learning algorithms in a systematic manner as well as how to set up the projects.
By SriHarshavardhan M
•Oct 31, 2020
Very Practical course. Every Data Scientist should take this course! I always enjoy Andrew Ng. Thanks Andrew Ng for sharing your valued experience with us.
By Vikas M
•Jul 24, 2020
A brilliant course by a brilliant instructor. I just the love the way Prof. Andrew explains concepts. On the way to other certifications. Thanks a zillion.
By Helia B N
•Jun 11, 2020
this course is really helpful. learning about errors, variance, bias and how to face different distributions of test set, training set in practical manner.
By Ravi P B
•Apr 11, 2020
Very nice to have learn about important Machine Learning and Deep Learning Strategies and how can we systematically build and improve intelligent systems.
By Badr S
•Feb 20, 2020
As always, Andrew is absolutely amazing at transmitting advanced knowledge and making it accessible to most people. Thank you Andrew and the whole team !
By Ashwini J
•Dec 23, 2019
Good course to go through for understanding how to approach a machine learning project: manual error analysis, training-dev set creation, bayes error, etc.
By Hansa M
•May 7, 2019
A good course to help you how to strategically plan Machine Learning projects and gain insights that only working in the industry can. Thank you Andrew Ng!
By Hanna P
•Mar 2, 2019
A helpful course. It would be nice to review some parts of ML projects even in more details as there are so much places where an ML engineer can be unsure.
By Payal M
•Feb 8, 2018
By bringing in several real life ML examples/applications, the course helps reveal subtleties, and furthers a deeper understanding of concepts in practice.
By Anish M P
•Dec 4, 2017
This course is well structured and to the point. Course helps to understand practical aspects on how a ML product can be achieved using structured approach
By Jiapeng W
•Nov 9, 2021
This course really teaches me the skills in developing machine learning models for real world problems. I would highly recommend this to ML practitioners.
By Mohamed D
•Nov 28, 2020
World-class tips and tricks for structuring Machine Learning projects that you probably won't find elsewhere. Also, the quiz structure is very convenient.
By Karthik G
•Aug 12, 2020
This helped me to get more insight into how to resolve the errors, what approaches are better, and how transfer learning and multitasking can be utilized.