Model Performance, Bias, and Fairness in Machine Learning
1. Model Performance Issues 2. Bias in Machine Learning 3. Ensuring Model Fairness Key Terms to Remember:
Model Training and Machine Learning Styles
1. Model Training & Deployment 2. Inference Options 3. Machine Learning Styles 4. Key Differences in Learning Styles Key Terms…
Deep Learning and Generative AI Concepts
1. Deep Learning: 2. Deep Learning vs. Traditional Machine Learning: 3. Generative AI:
AI Concepts and Terminologies
Summary of AI Concepts and Terminologies 1. What is AI? 2. Machine Learning (ML) 3. Deep Learning 4. AI Applications…
Machine Learning (ML) Concepts
1. What is Machine Learning? 2. How Machine Learning Works 3. Types of Data for ML 4. Machine Learning Models…
Bias in AI & ML – Quick Summary
Bias in AI & ML: Overview What is Bias? How is Bias Introduced? Data Issues: Model Lifecycle: Mitigation Strategies 1.…