Learner Reviews & Feedback for AI Workflow: Feature Engineering and Bias Detection by IBM
About the Course
courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.
Course 3 introduces you to the next stage of the workflow for our hypothetical media company. In this stage of work you will learn best
practices for feature engineering, handling class imbalances and detecting bias in the data. Class imbalances can seriously affect the validity of
your machine learning models, and the mitigation of bias in data is essential to reducing the risk associated with biased mod...
Top reviews
1 - 8 of 8 Reviews for AI Workflow: Feature Engineering and Bias Detection
By Neela M
•Jul 6, 2020
Dear Team,
Namaste !!
Well...All Instructer Very Help Full ...Quick Reply for any Queries ...Concept Clearance.
Thanks & Regards
Neela Mistry
By Diego M G S
•Aug 26, 2020
gran material y notebook muy claros
By Dileep R
•Aug 24, 2020
The course content and instructors were very good. I had a lot of trouble with getting the exercised working because some capability, e.g. spacy english could not load or for some reason was not detected by the notebook - in local or on WS. That was the most time consuming part and distracted from the actual work assignment
By Patrick L
•May 4, 2020
It's quite good but the content could be more in-depth as an 'advance' course.
By S M A J
•May 28, 2020
Basic course and some product use case
By Suryabrata D
•Jul 5, 2020
Very good course.
By Subodh S
•Jun 15, 2022
zs
By Gaurav S
•Sep 12, 2020
The Concepts are explained at a very very High Level