Julia Tutorials
Offered By: YouTube
Course Description
Overview
Dive into a comprehensive series of tutorials designed specifically for economists looking to harness the power of Julia programming language. Learn the fundamentals of Julia, explore parallelization techniques for efficient computations, master optimization and automatic differentiation methods, enhance code performance, and delve into computational Bayesian statistics. Gain practical skills and knowledge to apply Julia in economic research and analysis over the course of 12.5 hours of in-depth instruction.
Syllabus
Julia for Economists 2022: Julia Basics
Julia for Economists 2022: Parallelization
Julia for Economists 2022: Optimization and Automatic Differentiation
Julia for Economists 2022: Performance
Julia for Economists 2022: Computational Bayesian Statistics
Taught by
Cameron Pfiffer
Related Courses
Introduction to Neural Networks and PyTorchIBM via Coursera Regression with Automatic Differentiation in TensorFlow
Coursera Project Network via Coursera Neural Network from Scratch in TensorFlow
Coursera Project Network via Coursera Customising your models with TensorFlow 2
Imperial College London via Coursera PyTorch Fundamentals
Microsoft via Microsoft Learn