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Your First Step into Data Science: Terminologies, Pipelines, and Beyond
A comprehensive introduction to data science and machine learning, covering the evolution of AI, key differences between ML, DL, and AI, types of learning paradigms, model categories, theoretical distinctions, and core pipeline stages—built to establish a strong conceptual foundation.
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Optimization Strategies in Modern Machine Learning (Non-Convexity, Hyperparameters, and Meta-Learning)
Optimization & Multivariable Calculus 8 - Mathematics for Data Science
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Matrix Calculus for Data Science
Optimization & Multivariable Calculus 7 - Mathematics for Data Science
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Regularization & Generalization in Optimization
Optimization & Multivariable Calculus 6 - Mathematics for Data Science
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Adaptive Optimization — Adam, RMSProp, & Beyond
Optimization & Multivariable Calculus 5 - Mathematics for Data Science