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Automatic Selection of Machine Learning Algorithm | Meta Learning Explained

*Description:*
Discover the latest advancements in machine learning with Dr. Rahman Ali, Assistant Professor at the University of Peshawar. In this insightful session (an invited talk delivered at https://www.kust.edu.pk/ICCIS2024/), Dr. Ali delves into the innovative methods for automatic machine learning algorithm selection, leveraging *meta-learning approaches* for optimal decision-making in diverse domains like healthcare, business, and bioinformatics to select an appropriate Machine Learning Algorithm.

Key highlights of the invited talk include:
*Introduction to Meta-Learning:* How meta-characteristics of datasets and machine learning algorithms performance evaluation metrics are mapped to recommend optimum performance ML algorithm(s) for creating intelligent decision-making models.
*Challenges in Algorithm Selection:* Addressing the complexities of choosing the right algorithm for classification, prediction, and recommendation problems.
*Empirical vs. Meta-Learning Approaches:* Transition from heuristic and empirical methods to advanced meta-learning techniques for improving efficiency and accuracy of decisions.
*Use Cases and Examples:* Real-world applications such as diabetes type prediction and selecting machine learning models for various industries' problems.
*Implementation of the Framework:* A workflow overview, including data preparation, meta-feature extraction, ML algorithm characterization, and training/recommendation using machine learning models and case-based reasoning (CBR).

This video is a must-watch for researchers, data scientists, and AI enthusiasts aiming to optimize machine learning processes for their datasets. Gain actionable insights and stay ahead in the evolving field of artificial intelligence!

*Keywords:*
Automatic Machine Learning, Meta Learning, Algorithm Selection, Machine Learning Framework, Data Science, AI in Healthcare, Case-Based Reasoning, Predictive Analytics, Business Intelligence, Dataset Meta Features, AI Optimization, Deep Learning, Heuristic Methods, Cross-Validation, Evaluation Metrics

*Tags:*
#MachineLearning #MetaLearning #ArtificialIntelligence #AlgorithmSelection #DataScience #AIinBusiness #HealthcareAI #PredictiveAnalytics #DataMining #DeepLearning

*Call to Action:*
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📧 For queries or collaboration, contact Dr. Rahman Ali at [[email protected]].

*Watch Now and Transform Your ML Journey!*