Category: Data Science

Author: Janardhanan PS You are familiar with the term data lake. A data lake is a repository used to store unlimited volume of data. These […] Read More

Author: Matt Mayo Editor Most popular @KDnuggets tweets for Feb 19-25 were: Most Retweeted & Favorited: 9 lessons learned during my first year as a […] Read More

Author: mtdearing Thinking of data science as merely a technical profession, like programming, may take you away from your goals. Focusing on the usability of […] Read More

Author: William Vorhies Summary:  How to measure the degree and value of AI adoption among companies or even countries is hard.  Here’s a beginning proposal […] Read More

Author: Matt Mayo Editor Data scientists, industrial planners, and other machine learning experts will meet in Las Vegas on May 31 – Jun 4. Don’t […] Read More

Author: ajit jaokar This post is based on two insightful threads I read online (References below) Based on these, I address the question of ‘The […] Read More

Author: mtdearing While deepfakes threaten to destroy our perception of reality, the tech giants are throwing down the gauntlet and working to enhance the state […] Read More

Author: Stephanie Glen I live in Jacksonville, Florida, where the odds of a hurricane on any given day are “improbable“. But does that mean I […] Read More

Author: mtdearing Soon after tech giants Google and Microsoft introduced their AutoML services to the world, the popularity and interest in these services skyrocketed. We […] Read More

Author: Bill Schmarzo “Begin with an end in mind” – Stephen Covey “7 Habits of Highly Effective People” No truer words have ever been spoken.  […] Read More