Category: Data Science

Author: Andrea Manero-Bastin This article was written by Tavish Srivastava. Overview Time Series Analysis and Time Series Modeling are powerful forecasting tools A prior knowledge […] 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: Andrea Manero-Bastin This article was written on OpenAI.  We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. […] Read More

Author: Matt Mayo Editor This article covers matrix decomposition, as well as the underlying concepts of eigenvalues (lambdas) and eigenvectors, as well as discusses the […] Read More

Author: Betsy Romeri Part 1: Optimize Your Pricing with AI This blog addresses the need for foodservice distributors of all sizes to jump into the […] Read More

Author: Matt Mayo Editor Many data scientists have implemented machine or deep learning algorithms on static data or in batch, but what considerations must you […] Read More

Author: Gregory PS Editor K-Means 8x faster, 27x lower error than Scikit-learn’s in 25 lines; How to do visualization using #Python from scratch; Why the […] Read More

Author: Matt Mayo Editor Join INFORMS community of data, analytics, operations research, and statistics professionals and tackle the future together. With nearly 13,000 members around […] Read More

Author: William Vorhies Summary:  Things are getting repetitious and that can be boring.  Still, looking at lessons from the 90s it’s clear there are at […] Read More

Author: Matt Mayo Editor Also: AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021; Introduction to […] Read More