#data-analysis

#data-analysis

Sizing up the Hamptons rental market on an empirical basis has always been a challenge. Data are often incomplete, disjointed or biased toward the collector.

The computational challenge in Gaussian Process regression largely stems from the need to efficiently handle the inverse of the covariance matrix, which can be addressed through various approximation methods.

Data is raw observations (logs, notes, survey answers). Findings describe emerging patterns in data but aren't actionable. Insights are the actionable implications derived from findings.

In the season just gone, compared to the 2019-20 season, there were more passes per game, a higher percentage of passes completed and fewer forward passes, suggesting an evolution in football philosophy.

Inductive reasoning allows for conclusions to be derived from observed data, yet these conclusions may extend beyond the observed premises, raising questions about certainty and validity.

In a democracy as vibrant and diverse as India's, parliamentary speeches are more than just political rhetoric; they mirror national priorities, debates, and evolving ideologies.

The study emphasizes the importance of selecting feature selection techniques that exhibit low sensitivity to data size while ensuring high predictive performance, particularly in small datasets.

The NOAA database is the gold standard we use to evaluate the costs of extreme weather... And it's a major loss, since it comes at a time when we need to better understand how much climate change is increasing disaster losses.

In retrospect it's clear to Chinoy how he was borne along - and repeatedly redirected - by his particular curiosity: about systems, abstractions, how things work.

In testing GenAI services, I aimed to analyze a range of charts; however, I only had access to image representations, complicating efforts for structured responses.

In modern society, traditional monitoring tools fall short due to the complex nature of distributed systems, necessitating advanced solutions like OpenTelemetry to achieve better visibility and performance.

Managing customer relationships is evolving; modern CRMs need to offer insights into behavior, automate processes, and provide real-time data to enhance engagement and sales.

The Washington Post worked with bird-sighting lists from eBird to determine the most common migratory birds every month from February through May in each county in the contiguous U.S. in 2023 and 2024.

A full-stack marketer is a marketing professional who possesses a diverse skill set that spans the entire marketing spectrum, from strategy development to execution across various channels.

Rembrandt, the painter, was known for his mastery of light and shadow to bring out the unseen details - we do the same for revenue teams, but with data.

L.M.-A. designed and performed experiments, oversaw work, and wrote the manuscript while D.S. generated viral strains and conducted one-step growth curves.

"As a strat, you write code and build data models while working with salespeople and traders. You're supporting them."

Some managers, like Mikel Arteta, aggressively commanded their technical area, while others, like David Moyes, displayed a more reserved presence, occupying their space differently.