scientific machine

The 15 most recent episodes and tracks on this topic.

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Basic Parameter Estimation, Reverse-Mode AD, and Inverse ProblemsParallel Computing and Scientific Machine Learning Notes
Solving Stiff Ordinary Differential EquationsParallel Computing and Scientific Machine Learning Notes
Forward-Mode Automatic Differentiation (AD) via High Dimensional AlgebrasParallel Computing and Scientific Machine Learning Notes
Ordinary Differential Equations 2: Discretizations and StabilityParallel Computing and Scientific Machine Learning Notes
Ordinary Differential Equations 1: Applications and Solution CharacteristicsParallel Computing and Scientific Machine Learning Notes
The Different Flavors of Parallelism: Parallel Programming ModelsParallel Computing and Scientific Machine Learning Notes
The Basics of Single Node Parallel ComputingParallel Computing and Scientific Machine Learning Notes
How Loops Work 2: Computationally-Efficient Discrete DynamicsParallel Computing and Scientific Machine Learning Notes
How Loops Work 1: An Introduction to the Theory of Discrete Dynamical SystemsParallel Computing and Scientific Machine Learning Notes
Introduction to Scientific Machine Learning 1: Deep Learning as Function ApproximationParallel Computing and Scientific Machine Learning Notes
Introduction to Scientific Machine Learning 2: Physics-Informed Neural NetworksParallel Computing and Scientific Machine Learning Notes
Optimizing Serial Code in Julia 1: Memory Models, Mutation, and VectorizationParallel Computing and Scientific Machine Learning Notes
Getting Started with Julia (for Experienced Programmers)Parallel Computing and Scientific Machine Learning Notes
Optimizing Serial Code in Julia 2: Type inference, function specialization, and dispatchParallel Computing and Scientific Machine Learning Notes
Parallel Computing and Scientific Machine Learning Course: SyllabusParallel Computing and Scientific Machine Learning Notes

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