From Functional to Parallel: Stochastic Modeling in C++ - Kevin Carpenter [ CppCon 2015 ]
Considerations for choosing the parallel computing strategy - Dori Exterman - Meeting C++ 2015
How to solve differential equations
Hybrid Deterministic-Stochastic Modeling
Jérôme Lelong : Introduction to HPC - MPI : Design of parallel program and MPI
4 Steps to Solve Any Dynamic Programming (DP) Problem
GoingNative 31: Easy Parallelization with Parallel STL
I Built A Homemade CPU!
A Simple Solution for Really Hard Problems: Monte Carlo Simulation
Gradient Descent in 3 minutes
K-nearest Neighbors (KNN) in 3 min
Efficiently Calling Functions in a Loop with Python: A Guide for Stochastic Modeling
CppCon 2015: Grant Mercer & Danial Bourgeois “Parallelizing the C++ Standard Template Library”
DDPS | Bayesian Optimization: Exploiting Machine Learning Models, Physics, & Throughput Experiments
Functional Data Structures in C++ :2015
A Grand Welcome: Unforgettable Moments on Stage! #vitap
A* (A-Star) Pathfinding Algorithm finds the shortest route on a map ✨ #math #simulation #pathfinder
Codistillation for Distributed Training and AMA! | Shagun Sodhani | BCS, IIT Kanpur
Diffuse your way out of a paper bag - Frances Buontempo [C++ on Sea 2019]
XGBoost explained #datascience #machinelearning #statistics #xgboost #decisiontrees
Stochastic Gradient Descent, Clearly Explained!!!
CppCon 2015: Greg Miller “Time Programming Fundamentals"
itCppCon17 - Monads for C++ (Bartosz Milewski)
Genetic algorithms explained in 6 minutes (...and 28 seconds)
Accelerating MCMC for Computationally Intensive Models by Natesh Pillai
![From Functional to Parallel: Stochastic Modeling in C++ - Kevin Carpenter [ CppCon 2015 ]](https://img.youtube.com/vi/ObQ4G1s97Mc/0.jpg)
![Diffuse your way out of a paper bag - Frances Buontempo [C++ on Sea 2019]](https://img.youtube.com/vi/6hst54AQR8U/0.jpg)
