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Comprehensive exploration of Singular Value Decomposition, covering mathematical foundations, applications in data processing, and implementation in MATLAB and Python for various real-world scenarios.
Explore machine learning applications in fluid dynamics, from turbulence modeling to control strategies, with a focus on data-driven approaches and advanced computational techniques.
Explora técnicas avanzadas de aprendizaje automático, sistemas dinámicos y control con ejemplos prácticos en Matlab y Python, basados en el libro "Data-Driven Science and Engineering" de Brunton y Kutz.
Explore Kalman Filter implementation on inverted pendulum using Matlab, covering theory and practical application in dynamical systems and control engineering.
Comprehensive review of Taylor and Power Series with visual aids and coding examples in Python and Matlab. Covers definitions, expansions for sine and cosine, and practical implementations.
Explore probability and statistics fundamentals, from basic concepts to advanced topics, covering applications, history, and key principles in data science and machine learning.
Explore fundamental probability concepts through coin flips and dice rolls, uncovering the nature of randomness and its practical applications in everyday scenarios.
Explore fundamental set theory concepts and their application in probability, including sample spaces, events, and key operations like unions and intersections through clear examples.
Master combinatorics and factorial concepts in probability. Learn to count event occurrences, analyze sampling methods, and apply formulas for various probability scenarios, including coin flips and poker hands.
Master the Law of Total Probability through clear explanations and practical examples, understanding its fundamental role in probability theory and statistical analysis.
Master the fundamentals of binomial and multinomial distributions, exploring probability concepts through practical examples like coin flips while learning key mathematical formulas and proofs.
Explore the fascinating Birthday Problem in probability theory, learning how to calculate shared birthday chances through complementary probability and factorial computations.
Explore quality control principles through multinomial distribution, learning to assess batch reliability using non-destructive inspection methods and statistical sampling techniques.
Master conditional probability concepts through clear examples and practical applications, exploring fundamental principles and calculations for statistical analysis.
Explore wave equation solutions using separation of variables, with applications to guitar string physics. Gain insights into optics, acoustics, and fundamental physics concepts.
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