Julia for Data Science

Julia for Data Science

HDRips | MP4/AVC, ~461 kb/s | 1280×720 | Duration: 02:41:23 | English: AAC, 128 kb/s (2 ch) | 546 MB

Genre: Development / Programming

Refine your data science skills with the heavy armory of tools provided by Julia
-Learn to use the machine learning algorithms in Julia to make better decisions and smarter actions in real time without human intervention
-Get to grips with the specialized packages in Julia and leverage its performance capabilities to create efficient programs
-Create your own modules and contribute to the Julia package system

Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance without the sacrifice of human convenience. Julia is a fresh approach to technical computing, combining expertise from diverse fields of computational and computer science.

This video course walks you through all the steps involved in applying the Julia ecosystem to your own data science projects. We start with the basics and show you how to design and implement some of the general purpose features of Julia. Is fast development and fast execution possible at the same time? Julia provides the best of both worlds with its wide range of types, and our course covers this in depth. You will have organized and readable code by the end of the course by learning how to write Lisp style macros and modules.

The course demonstrates the power of the DataFrames package to manage, organize, and analyze data. It enables you to work with data from various sources, perform statistical calculations on them, and visualize their relationships in different kinds of plots through live demonstrations.

Julia for Data Science takes you from zero to hero, leaving you with the know-how required to apply

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