Category: Data Science

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Author: Matt Mayo Editor As AI continues to boom, improved technologies and processes for data labeling and annotation are on the rise. iMerit, a leader […] Read More

Author: Matt Mayo Editor This article presents a beginner’s view of NLP, as well as an explanation of how a typical NLP pipeline might look. […] Read More

Author: Kurt A Cagle Data Agility, Not Code Agility Twenty years ago, a group of programmers, project managers, and consultants met at a ski resort […] Read More

Author: Matt Mayo Editor See the progress the author has made since last time, after setting themselves the challenge of solving Sudoku puzzles using an […] Read More

Author: Nithin Automated machine learning (AutoML) signifies a fundamental shift in how organizations of all sizes strategy machine learning and information science. Implementing conventional machine […] Read More

Author: ajit jaokar This post continues our discussion on the Bayesian vs the frequentist approaches. Here, we consider implications for parametric and non-parametric models   […] Read More

Author: OLIVIA CUTHBERT Is it right to mention that you have to check out the top software development trends for 2021? You’re in the perfect […] Read More

Author: Gregory PS Editor AI Accelerator Festival: Hardware Acceleration for AI at the Edge . The world’s only end-user led event dedicated to accelerating industries […] Read More

Author: Gregory PS Editor Also: How to Get Your First Job in Data Science without Any Work Experience; Telling a Great Data Story: A Visualization […] Read More