Certificate in Calculus Differentiation for Machine Learning
-- ViewingNowThe Certificate in Calculus Differentiation for Machine Learning is a comprehensive course that equips learners with essential mathematical skills necessary for success in the field of Machine Learning. This course emphasizes the importance of calculus differentiation, a critical component in understanding and developing machine learning algorithms.
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โข Introduction to Calculus Differentiation: Fundamentals, limits, continuity, basic differentiation rules
โข Single Variable Differentiation: Power rule, product rule, quotient rule, chain rule
โข Higher Order Derivatives: Concepts, notations, properties, applications
โข Partial Differentiation: Functions of several variables, first-order and higher-order partial derivatives
โข Gradient and Directional Derivatives: Gradient vector, directional derivative, applications
โข Multiple Integration and Jacobians: Double and triple integrals, change of variables, polar coordinates
โข Optimization Techniques: Local and global extrema, constrained optimization, Lagrange multipliers
โข Calculus Differentiation for Machine Learning: Linear approximation, optimization, neural networks, backpropagation
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