Enterprises using multiple AI models are underestimating failure rates by 2.25x

A study of 67 AI models finds enterprises underestimate multi-model failure rates by 2.25x, and offers a free test to check ...

Why marketing mix modeling is still hard to get right

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
Analytics India Magazine

How Katha Room Went From Telling Indian Bedtime Stories to Being an Apple Award Finalist

Katha Room hosts more than 250 stories across five languages and has notched over 10,000 downloads on iOS and Android combined, while being bootstrapped. Katha Room addresses the decline of ...
IEEE

Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series

Abstract: Time series forecasting plays a key role in many fields such as business, energy or environment. Traditionally, statistical or machine learning models for time series forecasting are trained ...
Investopedia

Master ARIMA: Your Guide to Time Series Forecasting

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
BMJ

Unveiling the spatial divide in open defecation practices across India: an application of spatial regression and Fairlie decomposition model

Objective The study contextualises the spatial heterogeneity and associated drivers of open defecation (OD) in India. Design The present study involved a secondary cross-sectional survey data from the ...
SciELO

Linear and logistic regression models: when to use and how to interpret them?

A secondary analysis 1 of a study designated “Integrating Palliative and Critical Care,” a cluster randomized trial, was conducted to explore differences in receipt of elements of palliative care ...
GitHub

mcp: Regression with Multiple Change Points

mcp does regression with one or Multiple Change Points (MCP) between Generalized and hierarchical Linear Segments using Bayesian inference. mcp aims to provide maximum flexibility for analyses with a ...
Investopedia

Mastering Regression Analysis for Financial Forecasting

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...
Hacker

Top 10 Open Datasets for Linear Regression

Director of Content @ISNation & HackerNoon's Editorial Ambassador by day, VR Gamer and Anime Binger by night. On Hacker Noon, I will be sharing some of my best-performing machine learning articles.
IEEE

Privacy-Preserving Ridge Regression Over Encrypted Data Under Multiple Keys

Abstract: With the increase of private data being collected by data owners, it has been a trend for data owners to store the data on cloud computing platforms. The huge amounts of data in cloud ...