His book is essential for students and researchers in oceanography and other subjects in the Earth sciences, looking for a complete coverage of the theory and practice of time series data analysis ...

Data wrangling, often referred to as data cleaning or data preprocessing, is a critical step in the data science process.

Find out more about available formats and browse any associated online resources. Learn by doing with this user-friendly introduction to time series data analysis in R. This book explores the ...

Key Points Trend analysis is a method of using data to spot patterns for the sake of forecasting future events. There are ...

Performing such a scenario analysis can help you better understand ... engineers who build custom models to leverage time series data to make predictions. Recent advances in AI, such as foundation ...

including panel and tensor time series data, inferential analysis on dynamic networks and spatio-temporal processes, functional data analysis, functional time series analysis, shape-constrained ...

Master Excel forecasting to boost productivity and make strategic decisions to enhance your data analysis and predictions.

On Nov. 1 The Trace published a story about the steady decline in gun shooting deaths since the pandemic. Here’s how we did ...

Planet Labs PBC (NYSE: PL), a leading provider of daily data and insights about Earth, today released Analysis-Ready PlanetScope (ARPS). ARPS harnesses a cutting-edge proprietary algorithm to create ...

Retrieval Augmented Generation (RAG) is a technique that combines a traditional information retrieval system with an LLM.

As part of an ongoing series, I am trying to take theory into ... Today, I’m going to cover data analysis, which is going to be an increasingly popular use case (which is not without its flaws).

In his quest for the NASCAR Cup Series championship, Denny Hamlin may make his last stand — for 2024 at least — in his home state of Virginia, when he takes to the track at Martinsville Speedway on ...