AWS Big Data

AUGUST 7, 2023

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

Forecasting 86

Forecasting Data Warehouse Machine Learning Modeling 86

Jet Global

OCTOBER 8, 2020

Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context.

Finance 98

Finance Reporting Forecasting Metrics 98

datapine

NOVEMBER 27, 2019

While we work on programs to avoid such inconvenience , AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken into account. The fact is that it is and will affect our lives, whether we like it or not.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. return synthetic. Everhart, J.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Jet Global

MARCH 2, 2022

As such, some of the measures published in respect of ESG include: As such, some of the measures published in respect of ESG include: Non-Financial Reporting Directive (NFRD). The Task Force on Climate-Related Disclosures or TCFD released its disclosure recommendation in 2017.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66