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Learner Reviews & Feedback for Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership by SAS
77 ratings
About the Course
Machine learning runs the world. It generates predictions for each individual customer, employee, voter, and suspect, and these predictions
drive millions of business decisions more effectively, determining whom to call, mail, approve, test, diagnose, warn, investigate, incarcerate, set
up on a date, or medicate. But, to make this work, you've got to bridge what is a prevalent gap between business leadership and technical
know-how. Launching machine learning is as much a management endeavor as a technical one. Its success relies on a very particular business
leadership practice. This means that two different species must cooperate in harmony: the business leader and the quant. T...
drive millions of business decisions more effectively, determining whom to call, mail, approve, test, diagnose, warn, investigate, incarcerate, set
up on a date, or medicate. But, to make this work, you've got to bridge what is a prevalent gap between business leadership and technical
know-how. Launching machine learning is as much a management endeavor as a technical one. Its success relies on a very particular business
leadership practice. This means that two different species must cooperate in harmony: the business leader and the quant. T...
Top reviews
YA
Nov 23, 2020
very good and impressive course for Machine Learning with a great teacher who make you love the Machine Learning, thank you dear master for such a great course
EQ
Sep 22, 2020
The subject matter of this course was unique and very valuable and Prof. Siegel's enthusiasm and humor makes it especially engaging. Good job!
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26 - 31 of 31 Reviews for Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
By Maher A M
•Oct 28, 2024
Great Instructor
By Jau-Jie Y
•Jul 11, 2021
Excellent
By Priyanka K
•Mar 16, 2024
Best
By Jorge T
•Jan 18, 2021
Great introduction! Thanks!
By Kris
•Jul 5, 2021
.
By Derek T
•Jul 7, 2022
The course is too theoretical. There're many repetitive lectures can be shorten