Category: Data Science

Author: Gregory Piatetsky For the international women’s day, we feature resources to help more women enter and succeed in AI, Big Data, Data Science, and […] 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: Gregory Piatetsky Also: Learning from 3 big Data Science career mistakes; Leaders, Changes, and Trends in Gartner 2020 MQ Data Science and Machine Learning […] Read More

Author: mtdearing Many industries realize the potential of Machine Learning and are incorporating it as a core technology. Progress and new applications of these tools […] Read More

Author: Bill Schmarzo I’ve had several folks tell me that if I can’t convert the “effects” in the Schmarzo “Economic Digital Asset Valuation Theorem” into […] Read More

Author: Gregory PS Editor Also What is the Best #Python IDE for #DataScience? A Crash Course in Game Theory for Machine Learning: Classic and New […] Read More

Author: Matt Mayo Editor Join industry leaders at Predictive Analytics World for Industry 4.0, 11-12 May, to broaden your knowledge, deepen your understanding, discuss your […] Read More

Author: William Vorhies Summary:  If you’re planning your AI/ML business strategy watch out for the confusion in categories and overly risky ratings given by some […] Read More

Author: Matt Mayo Editor Also: The Death of Data Scientists — will AutoML replace them?; Probability Distributions in Data Science; The Big Bad NLP Database: […] 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