Category: Data Science

Author: Matt Mayo Editor Let’s take a look at how to harness open source tools to build your data frameworks. Go to Source

Author: Bill Schmarzo Note: this blog introduces the concept of the Marginal Propensity to Reuse which is the primary driver behind the Data Economic Multiplier […] Read More

Author: Matt Mayo Editor Octoparse makes it easy to collect data from websites and automate workflows on the web. Zapier is an online platform that […] Read More

Author: Kurt A Cagle 1. THE DISAPPEARING DATA SCIENTIST BY KURT CAGLE MANAGING EDITOR DATA SCIENCE CENTRAL 2. THESIS: THE DATA SCIENTIST IS GOING AWAY. INSTEAD, […] Read More

Author: Matt Mayo Editor Also: Data Scientist vs Data Engineer Salary; The 20 Python Packages You Need For Machine Learning and Data Science; Exclusive: OpenAI […] Read More

Author: Sara Petrie Note: This guide applies to running Spark jobs on any platform, including Cloudera platforms; cloud vendor-specific platforms – Amazon EMR, Microsoft HDInsight, […] Read More

Author: /u/datascience-bot Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data […] Read More

Author: Gregory Piatetsky OpenAI has recently done amazing work summarizing full-length books. We have asked OpenAI to summarize two recent KDnuggets posts, and the results […] Read More

Author: Vincent Granville In this series, we discuss a technique to find either the minima or the roots of a chaotic, unsmooth, or discrete function. […] Read More

Author: Matt Mayo Editor Data transformation is the biggest bottleneck in the analytics workflow. The modern approach to data pipelines is ELT, or extract, transform, […] Read More