Remove finance-and-economics
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The Complete Collection Of Data Repositories – Part 1

KDnuggets

Check out the collection of the best data repositories on agriculture, audio, biology, climate, computer vision, economics, education, energy, finance, and government.

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Learning Time Series Analysis & Modern Statistical Models

Analytics Vidhya

Time series data are collected over time and can be found in various fields such as finance, economics, and technology. Introduction Statistical models are significant for understanding and predicting complex data. You can see patterns and relationships and make accurate predictions about future values.

Analytics 295
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Completing the circle: Two students’ journey from learning SAS in the classroom to joining the team

SAS Software

An uncertain global economic climate has created a sense of unease and a heightened risk when managing finances for individuals and banking and financial institutions. Helping banks and financial institutions manage risk is a central pillar of how SAS adds value for our customers, who must ensure their organization is [.]

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The rise of Bitcoin: A game-changer in finance

Dataconomy

Its revolutionary impact on finance cannot be understated, as it ushered in the era of decentralized digital currencies. In this article, we will explore the journey of Bitcoin and how it has transformed the financial landscape, becoming a game-changer in the world of finance.

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Podcast: Deep Learning for Financial Trading with Sofien Kaabar

ODSC - Open Data Science

He is also the author of several books including Mastering Financial Pattern Recognition and Deep Learning for Finance. In this episode, Sofien Kaabar will discuss the role of deep learning and machine learning for finance, through the lens of his recent book Deep Learning for Finance. Interested in attending an ODSC event?

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Improving the detection of level shifts using the median filter

SAS Software

Time series data is widely used in various fields, such as finance, economics, and engineering. One of the key challenges when working with time series data is detecting level shifts. A level shift occurs when the time series’ mean and/or variance changes abruptly.

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How GenAI Bridges the Data Gap Between CMOs and CFOs

Dataversity

While it may seem like pressure is easing as global economic estimates turn slightly sunnier, consumer demand is still getting more expensive to capture and close – which means scrutiny from finance chiefs is as tough as ever.