Introduction to Machine Learning and Algorithmic Bias
Completed by Shreena Patel
August 18, 2025
6 hours (approximately)
Shreena Patel's account is verified. Coursera certifies their successful completion of Introduction to Machine Learning and Algorithmic Bias
What you will learn
Distinguish between artificial intelligence and machine learning, their real-world applications, and the factors driving their widespread adoption.
Gain insight on the four phases of the machine learning process to collaborate and make informed decisions about AI initiatives.
Recognize different types of algorithmic bias in AI systems and their real-world consequences across various sectors.
Examine mitigation strategies for algorithmic bias and compare governance models from industry self-regulation to governmental regulatory frameworks.
Skills you will gain
- Category: Model Training
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Business Strategy
- Category: Regulatory Requirements
- Category: Data Preprocessing
- Category: Business
- Category: Governance
- Category: Responsible AI
- Category: Data Transformation
- Category: Data Collection
- Category: Risk Mitigation
