Category: Data Science

Author: Matt Mayo Editor Also: The 8 Most Common Data Scientists; Easy AutoML in Python; How to Succeed in Becoming a Freelance Data Scientist; The […] Read More

Author: Kurt A Cagle Lessons From a Convention A Winter of Discontent has shifted over the last few months to a Spring of hope. Many […] 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: Stephanie Glen Bad data is worse than no data at all. What is “good” data and where do you find it? Best practices for […] Read More

Author: Gregory Piatetsky KDnuggets has reached an amazing milestone of one million unique visitors in March 2021. We review how we got here. Go to […] Read More

Author: Sergey Lukyanchikov What is Distributed Artificial Intelligence (DAI)? Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is […] Read More

Author: Matt Mayo Editor An interview with Dean Abbott and John Elder about change management, complexity, interpretability, and the risk of AI taking over humanity. […] Read More

Author: Kurt A Cagle The future of search is the rise of intelligent data and documents. Way back in 1991, Tim Berners-Lee, then a young […] Read More

Author: Matt Mayo Editor We’re excited to announce that a new open-source project has joined the Alteryx open-source ecosystem. EvalML is a library for automated […] Read More

Author: Ryan Williamson The food industry is among the largest industries in the world. Perhaps nothing serves as a better testament to its importance. The […] Read More