Subject archive for "data-engineering"

Data Science

Getting Data with Beautiful Soup

Data is all around us, from the spreadsheets we analyse on a daily basis, to the weather forecast we rely on every morning or the webpages we read. In many cases, the data we consume is simply given to us, and a simple glance is enough to make a decision. For example, knowing that the chance of rain today is 75% all day makes me take my umbrella with me. In many other cases, the data provided is so rich that we need to roll up our sleeves and we may use some exploratory analysis to get our heads around it. We have talked about some useful packages to do this exploration in a previous post.

By Dr J Rogel-Salazar13 min read

Data Science

The Curse of Dimensionality

Danger of Big Data

By Bill Shannon14 min read

Machine Learning

Machine Learning in Production: Software Architecture

Special thanks to Addison-Wesley Professional for permission to excerpt the following "Software Architecture" chapter from the book, Machine Learning in Production. This chapter excerpt provides data scientists with insights and tradeoffs to consider when moving machine learning models to production. Also, if you’re interested in learning about how Domino provides an API endpoint for your model, check out this video tutorial on the Domino Support site.

By John Joo12 min read

Data Science

Themes and Conferences per Pacoid, Episode 7

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise.

By Paco Nathan21 min read

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