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Foundations of Machine Learning: Learning Paradigms and the Emergence of Deep Learning

Foundations of Machine Learning: Learning Paradigms and the Emergence of Deep Learning

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In our daily lives, we interact with systems that appear intelligent. When a smartphone suggests the next word while typing, when YouTube recommends videos, or when Google Maps predicts traffic conditions, these systems are not following fixed instructions written by a programmer for every situation. Instead, they learn from data. This shift (from rule-based programming to data-driven learning) marks one of the most important transitions in modern computing. Traditionally, computer programs were written using explicit rules. However, real-world problems are…

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Introduction to Machine Learning

Introduction to Machine Learning

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Machine Learning (ML) is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and models that allow computers to learn from data and make predictions or decisions without being explicitly programmed for every task. The primary goal of machine learning is to develop algorithms that can learn patterns and relationships from data and use this knowledge to make predictions or decisions on new, unseen data. Imagine a dataset containing information about students’ attendance records, study hours…

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