Mixing Space I

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Related lectures (31)

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Risk Perception: Understanding Society's Perception of Risk

Delves into society's perception of risk, risk estimation, residual risk, and safety culture.

Neural networks under SGD

Explores neural networks trained under Stochastic Gradient Descent, discussing hidden layers, square loss function, and particle evolution.

Gradient Descent: Optimization and Constraints

Discusses gradient descent for optimization with equality constraints and iterative convergence criteria.

Single Inequality or Equality Constraint

Covers single inequality or equality constraints and necessary optimality conditions in optimization problems.

Financial Risk Management: Concepts and Applications

Covers the fundamentals of financial risk management, including types of risk, historical developments, regulatory events, and the challenges in quantitative risk management.

Simplex Algorithm: Basics

Introduces the Simplex algorithm for solving flow problems and handling negative cost cycles.

Optimization: Constrained Volume Problems

Explores constrained volume problems using Lagrange multipliers to find extrema under constraints in various examples.

Linear Models for Classification

Explores linear models for classification, logistic regression, and gradient descent in machine learning.

Energy System Modeling: Optimization and Performance Indicators

Explores energy system modeling using optimization techniques and performance indicators.

Energy Systems Optimization

Explores energy systems modeling, optimization, and cost analysis for efficient operations.