Tag

data

The Inner Workings of Spark

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From Spark in Action, Second Edition by Jean George Perrin

Develop Superior Machine Learning Algorithms

From Graph-Powered Machine Learning by Alessandro Negro


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Analyzing Stock Price Time Series with Fortran Arrays, Part 2

From Modern Fortran by Milan Curcic

What do Cooking Pasta and Data Science Have in Common?

From Data Science at Scale with Python and Dask by Jesse C. Daniel

This article discusses Dask, how it compares to Apache Spark, and how to create and understand directed acyclic graphs using the example of the delicious Italian pasta dish bucatini all’Amatriciana.

A Practice-Oriented Approach to Data Science


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From Practical Data Science with R, Second Edition
By Nina Zumel and John Mount

Free eBook: Exploring Data with Python

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Chapters selected by Naomi Ceder

Building your Data Pipeline with JavaScript


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From Data Wrangling with JavaScript
By Ashley Davis

Free eBook: Exploring the Data Jungle: Finding, Preparing, and Using Real-World Data

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Chapters selected by Brian Godsey

Managing Quality

From The Art of Data Usability by Tryggvi Björgvinsson

This article discusses quality management in terms of data and data projects. When you know what your users need or want, you’ll have to manage those expectations somehow, but how do you manage quality? It turns out that you approach it similarly to how you would try to properly answer a question.

Learning from the Past: data usability

From The Art of Data Usability by Tryggvi Björgvinsson

Everywhere we go we are surrounded by data, but it’s not always simple to interpret. Not only that, it’s also rather easy to mistakenly interpret data. This article, adapted from chapter 1, introduces the idea of “data usability” and goes into why it’s important in today’s data-rich world.

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