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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;

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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;

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Julia for Data Science

. Options for Julia IDEs 3. Programming structures and functions 4. Engineering tasks, such as importing, cleaning, formatting and storing data, as;

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Julia for Data Science

a good background in statistics and computational mathematics. What You Will Learn * Apply statistical models in Julia for data-driven;

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Julia Cookbook

programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. The book starts;

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AI for Data Science

Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and;

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Julia 1.0 Programming Cookbook

Features Address the core problems of programming in Julia with the most popular packages for common tasks Tackle issues while working with;

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Beginning Julia Programming

Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing;

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Hands-On Data Science with Anaconda

, you'll learn how to visualize data using the packages available for Julia, Python, and R. What you will learn Perform cleaning, sorting;

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Data Science

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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Think Julia

advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general;

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Parallel Computing for Data Science

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

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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Julia 1.0 Programming

Enter the exciting world of Julia, a high-performance language for technical computing Key Features Leverage Julia's high speed and;

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Jupyter Cookbook

science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who;

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Julia Quick Syntax Reference

programming languages such as R for statistics or Python. You will learn how to use Julia packages for data analysis, numerical optimization and;

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Modeling Decisions for Artificial Intelligence

This book constitutes the proceedings of the 13th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2016;

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Democratizing Our Data

for low response rates. In A Data Manifesto, Julia Lane argues that bad data is bad for democracy. Her book is a wake-up call to America to;

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Practical Machine Learning

Book Is For This book has been created for data scientists who want to see machine learning in action and explore its real-world application;

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Julia 1.0 Programming Complete Reference Guide

Learn dynamic programming with Julia to build apps for data analysis, visualization, machine learning, and the web Key Features Leverage;

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Getting Started With Julia Programming

programs with Julia The book walks you through various practical examples to get to grips with Julia Who This Book Is ForThis book is for you;

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Democratizing Our Data

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Julia Programming Projects

Key Features Work with powerful open-source libraries for data wrangling, analysis, and visualization Develop full-featured, full-stack web;

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Data Science For Dummies 3e

What if there was one simple, clear process for ensuring that all your company's data science projects achieve a high a return on investment;

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Data Science Strategy For Dummies

big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability;

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Learning Jupyter 5

on the same Notebook Organize your Notebook using Jupyter namespaces Access big data in Jupyter for dealing with large datasets using Spark;

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Data Science

media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data;

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