Graduate Certificate in Machine Learning for Equity
-- viewing nowThe Graduate Certificate in Machine Learning for Equity is a timely and crucial course designed to address the increasing industry demand for experts in machine learning and artificial intelligence. This program focuses on building fair and unbiased models, promoting ethical AI practices and inclusivity in technology.
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Course Details
• Unit 1: Introduction to Machine Learning for Equity & Fairness
• Unit 2: Data Preprocessing for Bias Reduction
• Unit 3: Bias Mitigation Techniques in ML Models
• Unit 4: Evaluating Fairness in Machine Learning
• Unit 5: Ethical Considerations in AI and Machine Learning
• Unit 6: Responsible Machine Learning Practices
• Unit 7: Explainable AI (XAI) and Transparent Decision-making
• Unit 8: Real-world Applications of Fair Machine Learning
• Unit 9: Policy and Regulation for Equitable AI
• Unit 10: Capstone Project: Implementing Fair Machine Learning Models
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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