
In this course, we will discuss different statistical tools required to (i) analyze our observations, (ii) design new experiments, and (iii) integrate a large number of observations in a single unified model.

Comprehensive introduction to R programming, covering data types, manipulation, visualization, and neural networks. Includes hands-on examples and a Pokemon case study for practical application.

Comprehensive preparation for CBSE/ISC 12th grade mathematics, covering key topics with practice questions, notes, and exam strategies for high scores.

Explore saddle-node, transcritical, pitchfork, and Hopf bifurcations in dynamical systems. Learn how these phenomena affect phase portraits and system behavior as parameters change.

In 46 episodes, Dr. Shini Somara will help you find your place in the world -- literally! -- with physics. This course is based on introductory college-level material and the 2016 AP Physics I and II curriculum.

Explore AI-powered language translation, from statistical models to neural networks. Learn about RNNs, LSTMs, and sequence-to-sequence models, with a practical English-to-French translation example.

This course covers Newtonian mechanics, special relativity, gravitation, thermodynamics, and waves.

Comprehensive biostatistics tutorial covering key concepts from basics to advanced topics, including data analysis, probability, medical decision-making, epidemiology, and research design.

Explore neurobiology through brain networks, structures, and measurements, delving into energy, irreversibility, and cognitive functions in this comprehensive tutorial.

Explore the fascinating connection between mathematics, art, and the human form through the language of curves, catastrophe theory, and their applications across various fields.

Comprehensive introduction to calculus at Oxford, covering differential equations, integration techniques, and problem-solving methods for first-year mathematics students.

Explore how mathematics and data science are revolutionizing soccer strategy, player analysis, and team management in the Premier League and beyond.

Learn MATLAB techniques for solving ODEs, analyzing spring-mass-damper systems, and applying Laplace transforms in dynamic system modeling and simulation.

Explore local curve theory, curvature, Frenet-Serret formulas, and the Fundamental Theorem of Curves in this comprehensive introduction to differential geometry.

Explore fundamental concepts of Graph Theory, from social distancing applications to advanced theorems, enhancing problem-solving skills and mathematical understanding.

Comprehensive review covering key civil engineering topics for the FE exam, including mathematics, structures, mechanics, geotechnical engineering, and surveying.

Explore soil dynamics, vibrations, wave propagation, and machine foundations. Learn about earthquake waves, liquefaction, and soil improvement methods for practical engineering applications.

Comprehensive exploration of advanced linear algebra concepts for engineers, covering vector spaces, transformations, orthogonality, diagonalization, and singular value decomposition.

Comprehensive introduction to CUDA programming, covering vector operations, matrix multiplication, memory optimization, and performance tuning for GPU-accelerated computing.

Explore number theory concepts through engaging proofs, puzzles, and problems, from classic irrationality demonstrations to modular arithmetic and prime numbers.

Explora las formas diferenciales, sus propiedades algebraicas, integración y aplicaciones en cálculo vectorial y ecuaciones de Maxwell.