Category: Data Science

Author: Matt Mayo Editor Researchers from MIT recently unveiled a new probabilistic programming language named Gen, a language which allow researchers to write models and […] Read More

Author: Matt Mayo Editor Seeking a Data Scientist to play a key role in the discovery of knowledge and insights through quantitative and qualitative research […] Read More

Author: Matt Mayo Editor Also: How do you check the quality of your regression model in Python?; NLP vs. NLU: from Understanding a Language to […] Read More

Author: Stephanie Glen Evaluating a model is just as important as creating the model in the first place. Even if you use the most statistically […] Read More

Author: ajit jaokar I highly recommend  the #StateofAI 2019 report. I have followed this report from By Nathan Benaich and Ian Hogarth The report is free and […] Read More

Author: mtdearing Intel Researchers created a new approach to RL via Collaborative Evolutionary Reinforcement Learning (CERL) that combines policy gradient and evolution methods to optimize, […] Read More

Author: William Vorhies Summary:  More data means better models but we may be crossing over a line into what the public can tolerate, both in […] Read More

Author: /u/AutoModerator 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: mtdearing As Data Science is becoming pervasive across so many industries, Hollywood is certainly not being left behind. Learn about how Big Data, analytics, […] 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