[ad_1] Introduction: Impact of student-centered approaches on academic achievement is a topic that has gained increasing attention in the field of education. Student-centered approaches focus on shifting the focus of learning from the teacher to…
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[ad_1] Introduction: Generative Models for Data Augmentation is a rapidly growing field in machine learning and artificial intelligence that focuses on generating new training data from existing data to improve the performance of machine learning…
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[ad_1] Introduction: Distributed Optimization for Large-Scale Machine Learning is a vital area within the field of machine learning, particularly as datasets continue to grow exponentially in size and complexity. This thesis aims to explore the…
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[ad_1] Table of Contents Chapter 1: Introduction 1.1 Background of the Study 1.2 Objectives of the Study 1.3 Limitations of the Study 1.4 Scope of the Study Chapter 2: Literature Review 2.1 Overview of Health…
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[ad_1] Bayesian Optimization is a popular method used in machine learning for hyperparameter tuning, which aims to find the best configuration of parameters for a given model. This approach utilizes a probabilistic model to predict…
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[ad_1] Table of Contents Chapter 1: Introduction 1.1 Background of the Study 1.2 Statement of the Problem 1.3 Research Questions 1.4 Significance of the Study 1.5 Definition of Terms 1.6 Objective of Study 1.7 Limitation…
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[ad_1] Introduction: Data compression and dimensionality reduction are techniques employed in the field of computer science and data analytics to reduce the size of data while preserving its important features. This helps in efficient storage…
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[ad_1] Introduction: Multi-Agent Reinforcement Learning (MARL) has gained significant attention in recent years due to its ability to model complex collaborative systems where multiple agents interact with each other to achieve a common goal. MARL…
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[ad_1] Introduction: Numerical Linear Algebra plays a crucial role in optimizing large-scale problems in various fields such as finance, engineering, and machine learning. Large-scale optimization involves finding the best solution from a vast number of…
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[ad_1] Table of Contents: Chapter 1: Introduction 1.1 Background of the Study 1.2 Problem Statement 1.3 Research Questions 1.4 Significance of the Study 1.5 Organization of the Study Chapter 2: Literature Review 2.1 Definition of…
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