Entropy Courses and Certifications

Complexity Explorer

Maximum Entropy Methods Tutorial

Discover maximum entropy methods for understanding probability distributions through practical examples including taxicab problems and real-world modeling applications.

• YouTube
• 1 hour 46 minutes
• Self-Paced
• Free Video

Phases of Matter: Solid, Liquid, Gas and Beyond

11 ratings at Coursera

Explore emergent phenomena in physics, from basic matter states to complex systems. Learn about symmetry, energy, entropy, and analytical tools for understanding phase transitions.

• Coursera
• 13 hours 13 minutes
• Self-Paced
• Paid Course

Stanford EE274: Data Compression - Beyond IID Distributions: Conditional Entropy - Lecture 8

Explore conditional entropy and advanced data compression techniques beyond IID distributions in this Stanford lecture, enhancing understanding of complex information theory concepts.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Statistical Thermodynamics: Molecules to Machines

52 ratings at Coursera

Develop molecular-level understanding of thermodynamic concepts and apply them to engineering and biological systems, from non-interacting to complex interacting systems.

• Coursera
• 11 hours
• Self-Paced
• Paid Course

Indian Institute of Management Ahmedabad

Transforming Life and Organizations in the Digital Age

40 ratings at Coursera

Explore the neuroscientific foundations of digital transformation and learn how to harness emerging technologies to empower both individuals and organizations while understanding their deeper impact on human evolution.

• Coursera
• 1 day 2 hours 59 minutes
• Self-Paced
• Paid Course

Thermodynamics and Phase Equilibria

Master the fundamental laws of thermodynamics, statistical interpretation of entropy, and phase equilibrium concepts essential for materials science and engineering.

• Coursera
• 11 hours 6 minutes
• Self-Paced
• Paid Course

Coursera

Build & Evaluate Decision Trees for ML

Master decision tree algorithms in Java using Weka and Smile libraries. Build, tune, and evaluate models with entropy, Gini index, and cross-validation techniques for real-world ML applications.

• Coursera
• 4 hours 8 minutes
• Self-Paced
• Paid Course

Thermodynamics of Materials

Explore materials thermodynamics, phase equilibria, and transformations. Learn classical concepts, computerized methods, and statistical thermodynamics. Gain practical skills for analyzing complex material systems.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Advanced Thermodynamics

Master advanced thermodynamics principles and applications, from equilibrium properties to nonequilibrium phenomena, with focus on energy systems, chemical kinetics, and transport processes for modern engineering challenges.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Microstructural Evolution of Materials: Statistical Mechanics

Discover the principles of statistical mechanics that explain materials science phenomena, from solid solution entropy to heat capacity trends and the canonical distribution.

• MITx Online
• 3 weeks, 10 hours/week
• Self-Paced
• Free Online Course

Thermodynamics of Materials

Master the principles of thermodynamics in materials science, exploring energy-disorder competition, phase diagrams, and equilibrium states to solve engineering problems and predict process outcomes.

• MITx Online
• 16 weeks, 9-12 hours a week
• Self-Paced
• Free Online Course

Thermal-Fluids Engineering 1: Basics of Thermodynamics and Hydrostatics

Explore the fundamentals of thermodynamics and hydrostatics, covering the first and second laws, entropy, ideal gas models, thermodynamic cycles, and fluid mechanics for real-life engineering systems.

• MITx Online
• Self-Paced
• Free Online Course

Thermodynamics for Engineering Students

808 ratings at Udemy

Master fundamental thermodynamics principles through detailed examples and practical applications in engineering, from basic concepts to advanced topics like entropy, enthalpy, and steam tables.

• Udemy
• 19 hours 19 minutes
• Self-Paced
• Paid Course

StatQuest with Josh Starmer

Neural Networks Part 7 - Cross Entropy Derivatives and Backpropagation

Detailed guide on calculating cross entropy derivatives and applying them in neural network backpropagation, with step-by-step explanations and practical examples.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Free Entropy Theory and Random Matrices

Explore advanced connections between free probability theory, random matrices, and von Neumann algebras through expert lectures on entropy methods and spectral analysis.

• YouTube
• 18 hours 8 minutes
• Self-Paced
• Free Video