What You Need to Know Before
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Starts 7 June 2025 00:04
Ends 7 June 2025
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1 hour 18 minutes
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Overview
Discover the foundational concepts of machine learning, exploring its widespread applications and fundamental principles while understanding what constitutes learning in artificial systems.
Syllabus
- Introduction to Machine Learning
- Key Concepts in Machine Learning
- Applications of Machine Learning
- Elements of Learning in Artificial Systems
- Machine Learning Workflow
- Ethical Considerations in Machine Learning
- Conclusion and Recap
Definition and Scope of Machine Learning
Historical Context and Evolution
Supervised vs. Unsupervised Learning
Reinforcement Learning Basics
Model Training and Testing
Practical Examples in Various Industries
Emerging Trends and Future Directions
Understanding Datasets and Features
Algorithms vs. Data: The Role of Each in Learning
Data Collection and Preprocessing
Model Selection and Evaluation
Bias and Fairness in AI Systems
The Importance of Responsible AI Deployment
Summary of Key Points
Overview of Upcoming Lectures and Topics
Subjects
Data Science
