The Julia Programming Language

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Applications of Julia

Data Science

Machine Learning

Web Development

Data Visualization

Data Science

This should probably have rung a bell in you. Data Science is an area of study that deals with chunks of data being processed. From the two words, data and science. Science on its own is the systematic study of the behavior of a particular thing. So in combination with the word Data, it is the study of the behavior of Data. Processing and analyzing these data is what Data Science to predict the outcome of an event, find an unseen pattern, gain more information and make decisions is all about. For all this, we use modern tools and techniques which will be listed below.

Techniques used in Data Science

Regression

Clustering

Decision Trees

Random Forests

Visualization

Probability and Statistics

Machine Learning

This should sound familiar too. If you haven't heard this before, then this confirms you are an alien. So, if you have not heard this word before, in simple terms Machine Learning means Machine Learning(i.e a machine that learns). Now, since we all know what Machine learning is all about, let's drive.

Machine learning is the study of computer algorithms that can improve automatically through experience and by the use of data. It deals with you providing a system with so much data that it will learn from. This will enable the system to predict future occurrences and events.

The Julia programming language uses the MLJ.jl package to provide a unified interface to common machine learning algorithms, which include generalized linear models, decision trees, and clustering. You are now almost confused with what the text in italic means, right? Do not worry, I am with you in this. It is just a package in Julia for Machine learning that contains several modules.

Web Development

This is the most common of them all. You have surely heard of Web development and you know what it means. The Julia programming language uses Genie.jl, a full-stack web framework that provides a streamlined and efficient workflow for developing modern web applications.

The Julia programming language can also be used to write web UI or native UIs, and also for scripting or automation.

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Applications of Julia

Data Science

Machine Learning

Web Development