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Introduction to Julia Programming: Machine-Learning Models and AI

Craft efficient code in the high-performance programming language, Julia
Create machine-learning models in Julia
Recognise the vector and matrix methods common to all neural network models
Interact with other AI platforms, like PyTorch and TensorFlow.

Overview

Off the shelf (OTS)

The 3-day course would of be interest for developers, programmers, and those with some basic experience with programming languages such as Python, Java etc. As such a prerequisite is attendees must have programme experience.

As machine learning and artificial intelligence algorithms grow more sophisticated, the need for a high-performance development environment grows greater and greater. Julia is a programming language designed to feel like a comfortable scripting environment, like Python, but able to deliver the high performance of fully compiled languages like C and Fortran.

The course introduces the fundamentals of coding in Julia, always with an eye towards programming techniques currently finding application in cutting-edge machine learning and artificial intelligence. Providing an introduction and overview to Julia, it will also cover topics to include putting machine learning theory into practice, debugging and high-performance and interoperating with other artificial intelligence platforms.