Category: Data Science

Author: ajit jaokar Background Earlier this week, I spoke at an interesting online event organized by Khaleej times in the UAE (UAE’s longest running daily […] Read More

Author: Matt Mayo Editor Also: Online Certificates/Courses in #AI, #BusinessAnalytics, #DataScience, #MachineLearning from Top Universities; 24 Best (and #Free) #Books To Understand #MachineLearning; New Poll: […] Read More

Author: William Vorhies Summary: Since BERT NLP models were first introduced by Google in 2018 they have become the go-to choice.  New evidence however shows […] Read More

Author: Matt Mayo Editor Getting started in deep learning – and adopting an organized, sustainable, and reproducible workflow – can be challenging. This blog post […] Read More

Author: Matt Mayo Editor If EDA is not executed correctly, it can cause us to start modeling with “unclean” data. See how to use Pandas […] 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: 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: Matt Mayo Editor Every Python project can benefit from automation using Makefile, optimized Docker images, well configured CI/CD, Code Quality Tools and more… Go […] Read More

Author: Eric Siegel Coursera’s Machine Learning for Everyone (free access) fulfills two different kinds of unmet learner needs, for both the technology side and the […] Read More

Author: Sanjeev Verma No matter how latest the technology is, it is often blamed responsible for the current environmental issues from internal engine combustion to […] Read More