Treffer: Julia for Data Science

Explore the world of data science from scratch with Julia by your sideAbout This BookAn in-depth exploration of Julia's growing ecosystem of packagesWork with the most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn about deep learning using Mocha.jl and give speed and high performance to data analysis on large data setsWho This Book Is ForThis book is aimed at data analysts and aspiring data scientists who have a basic knowledge of Julia or are completely new to it. The book also appeals to those competent in R and Python and wish to adopt Julia to improve their skills set in Data Science. It would be beneficial if the readers have a good background in statistics and computational mathematics.What You Will LearnApply statistical models in Julia for data-driven decisionsUnderstanding the process of data munging and data preparation using JuliaExplore techniques to visualize data using Julia and D3 based packagesUsing Julia to create self-learning systems using cutting edge machine learning algorithmsCreate supervised and unsupervised machine learning systems using Julia. Also, explore ensemble modelsBuild a recommendation engine in JuliaDive into Julia's deep learning framework and build a system using Mocha.jlIn DetailJulia is a fast and high performing language that's perfectly suited to data science with a mature package ecosystem and is now feature complete. It is a good tool for a data science practitioner. There was a famous post at Harvard Business Review that Data Scientist is the sexiest job of the 21st century. (https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century).This book will help you get familiarised with Julia's rich ecosystem, which is continuously evolving, allowing you to stay on top of your game.This book contains the essentials of data science and gives a high-level overview of advanced statistics and techniques. You will dive in and will work on generating insights by performin