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ᥩ Free leveled reading Julia for Data Science ᦟ Kindle Ebook By Zacharias Voulgaris PhD ᦸ

ᥩ Free leveled reading Julia for Data Science ᦟ Kindle Ebook By Zacharias Voulgaris PhD ᦸ ᥩ Free leveled reading Julia for Data Science ᦟ Kindle Ebook By Zacharias Voulgaris PhD ᦸ Master how to use the Julia language to solve business critical data science challenges After covering the importance of Julia to the data science community and several essential data science principles, we start with the basics including how to install Julia and its powerful libraries Many examples are provided as we illustrate how to leverage each Julia command, dataset, and function Specialized script packages are introduced and described Hands on problems representative of those commonly encountered throughout the data science pipeline are provided, and we guide you in the use of Julia in solving them using published datasets Many of these scenarios make use of existing packages and built in functions, as we cover An overview of the data science pipeline along with an example illustrating the key points, implemented in Julia Options for Julia IDEs Programming structures and functions Engineering tasks, such as importing, cleaning, formatting and storing data, as well as performing data preprocessing Data visualization and some simple yet powerful statistics for data exploration purposes Dimensionality reduction and feature evaluation Machine learning methods, ranging from unsupervised different types of clustering to supervised ones decision trees, random forests, basic neural networks, regression trees, and Extreme Learning Machines Graph analysis including pinpointing the connections among the various entities and how they can be mined for useful insights Each chapter concludes with a series of questions and exercises to reinforce what you learned The last chapter of the book will guide you in creating a data science application from scratch using Julia. Julia vs Python Julia language rises for data science has turned into a and machine learning mainstay, while was built from the ground up to do job Email friend Data Science PACKT Books is fast high performing that s perfectly suited with mature package ecosystem now feature complete It good tool practitioner There famous post at Harvard Business Review Scientist sexiest of st century Scientists First Look LinkedIn Get first look Julia, powerful programming analytics growing quickly in popularity many practitioners are interested Udemy takes you zero hero, leaving know how required apply About The Author Ivo Balbaert currently web databases lecturer CVO Antwerpen , community college Belgium Book oreilly GitHub manipulation, storage, I O repositories available Follow their code on GitHub Technics Pub Master use solve business critical challenges After covering importance several essential principles, we start basics including install Reilly Media Who this course This perfect fit looking contribute development new, fast, technical The Language lets load multidimensional datasets quickly, perform aggregations, joins preprocessing operations parallel, save them disk efficient formats You can also online computations streaming OnlineStatsjl Julia Zacharias Voulgaris PhD Dr born Athens, Greece He studied Production Engineering Management Technical University Crete, shifted Computer through Masters Information Systems Technology City London then Machine Learning Cookbook Jalem Raj Rohit an IIT Jodhpur graduate keen interest learning, science, analysis, computational statistics, natural processing NLP Peace, Love, Modeling modeling all about understanding within our organizations representing precise visual model which aids communication saving time during development, money support, improving quality Learning Julia Online tutorials We stream tutorial series watch live or after presentation finished offer introduction once per month, as well other topics Julia for Data Science

 

    • Julia for Data Science
    • 2.1
    • 94
    • Kindle
    • 415 pages
    • 1634621301
    • Zacharias Voulgaris PhD
    • English
    • 20 March 2016

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