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The aim of the workshop is to provide the participants, the necessary mathematical background and skills in order to understand, design and implement modern statistical machine learning methodologies, as well as inference mechanisms.
• Introduction to Machine Learning
• Broad Categories of Machine Learning Algorithms
• Machine Learning Algorithms – Analysis
• Machine Learning process
• Unsupervised learning techniques and case studies
• Supervised learning techniques and case studies
• Ensemble Learning
• Machine learning tools/Frameworks
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