Category: Data Science

Author: Gregory PS Editor Which Data Science Skills are core and which are hot/emerging ones?; The 4 Quadrants of Data Science Skills and 7 Principles […] Read More

Author: Stephanie Glen Resampling is a way to reuse data to generate new, hypothetical samples (called resamples) that are representative of an underlying population. It’s […] Read More

Author: Matthew Dearing Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth […] Read More

Author: Bill Schmarzo I continue to be infatuated with the potential of autonomous entities that self-monitor, self-diagnose, self-fix and self-learn without human intervention.  The vision […] Read More

Author: Matt Mayo Editor Also: Why is Machine Learning Deployment Hard?; Data Sources 101; 5 Statistical Traps Data Scientists Should Avoid; Everything a Data Scientist […] Read More

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

Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More

Author: Vincent Granville The original article is no longer available. Similar (and more comprehensive) material is available below.  Example of underfitted, well-fitted and overfitted models […] Read More

Author: mtdearing As a developer who is excited about leveraging machine learning for faster and more effective development, these software tools are worth trying out. […] Read More

Author: mtdearing Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value for […] Read More