From Deep Learning with R in Motion
By Rick J. Scavetta
From Deep Learning with PyTorch
By Eli Stevens and Luca Antiga
Chapters selected by Naomi Ceder
From Data Science at Scale with Python and Dask
By Jesse C. Daniel
From Data Wrangling with JavaScript
By Ashley Davis
Chapters selected by Brian Godsey
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.
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.
From The Art of Data Usability
By Tryggvi Björgvinsson
From Beyond Spreadsheets with R
By Dr. Jonathan Carroll