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base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;
Vergelijkbare producten zoals Data Science with Julia
base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;
Vergelijkbare producten zoals Data Science with Julia
Explore the world of data science from scratch with Julia by your side About This Book * An in-depth exploration of Julia's growing;
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science community and several essential data science principles, we start with the basics including how to install Julia and its powerful;
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Will Learn * Extract and handle your data with Julia * Uncover the concepts of metaprogramming in Julia * Conduct statistical analysis;
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Databases and Parallel data processing with Julia Explore advanced features such as metaprogramming, functional programming, and user defined types;
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Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and;
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Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing;
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Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda Key Features -Use Anaconda;
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From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science;
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If you're just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on;
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Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate;
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Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate;
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interactive documents with live code, text and visualizations Integrate popular programming languages such as Python, R, Julia, Scala with Jupyter;
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numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With;
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This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.x programming language, updated with;
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About This Book Work with Julia in a multi-core, distributed, and networked environment Learn the techniques to create blazingly fast;
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of algorithms and techniques for tackling complex data * Get to grips with some of the most powerful languages in data science, including R, Python;
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Learn dynamic programming with Julia to build apps for data analysis, visualization, machine learning, and the web Key Features Leverage;
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Features Learn how to use Jupyter 5.x features such as cell tagging and attractive table styles Leverage big data tools and datasets with different;
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Key Features Work with powerful open-source libraries for data wrangling, analysis, and visualization Develop full-featured, full-stack web;
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Why, with data increasingly important, available, valuable and cheap, are the data produced by the American government getting worse and;
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, held in Sant Julia de Loria, Andorra, in September 2016. The 22 revised full papers presented together with three invited talks were;
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collected and stored. Julia Panko pairs case studies from information history with close readings of modernist works such as James Joyce's Ulysses;
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Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB (R), this textbook;
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Become an efficient data science practitioner by understanding Python's key concepts About This Book * Quickly get familiar with data;
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