Coursera
MOOC / Non-credit
0
Ethics in the Age of AI
About this course
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will explore the rise of algorithms, fundamental issues of fairness and bias in machine learning, and basic concepts involved in security and privacy of machine learning projects. We'll finish with a study of 3 projects that will allow you to put your new skills into action.
C
67/100
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- What the provider tells you
- 31/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand the ethical implications of algorithms
- identify issues of fairness and bias in machine learning
- apply concepts of security and privacy in AI projects
Course objectives
- raise awareness of the limitations of machine learning models
- develop practical skills through project-based learning
Artificial Intelligence
#machine learning
#data privacy
#ethics
#ai
#data ethics
#project-based learning
#bias in ai
#algorithm fairness
#security in ai
#ml projects
$49.00
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