Author: William Vorhies Summary: The results are in. There is only one demonstrably successful strategy for creating big wins for AI-first companies. We’ll briefly summarize […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: /u/ML_WAYR_bot This is a place to share machine learning research papers, journals, and articles that you’re reading this week. If it relates to what […] Read More
Author: Jason Brownlee A classifier is only as good as the metric used to evaluate it. If you choose the wrong metric to evaluate your […] Read More
Author: Matt Mayo Editor In this webinar, Jan 15 @ 12PM EST, we’ll offer solutions to the common challenges data scientists and data engineers face […] Read More
Author: Deep learning vs. machine learning: Understand the differences InfoWorld Go to Source
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
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: Rob Matheson | MIT News Office MIT researchers have invented a machine-learning tool that predicts how fast computer chips will execute code from various […] Read More
Author: Woodside using data and machine learning to improve LNG plant safety ZDNet Go to Source
Author: Jason Brownlee Most imbalanced classification problems involve two classes: a negative case with the majority of examples and a positive case with a minority […] Read More