Remove 2022 Remove Data Engineering Remove Data Mining
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Ask HN: What Are You Working On? (June 2025)

Hacker News

Another Moby-Dick of mine is Kadessh, the SSH server plugin of Caddy, formerly known as caddy-ssh. I wrote about it here https://www.caffeinatedwonders.com/2022/03/28/new-ssh-server. , You can think of OSINTBuddy as node graphs, OSINT data mining, and plugins, or as an alternative to Maltego.

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Analysing World Happiness Report (2020-2022)

Analytics Vidhya

The World Happiness Report rates happiness on six indicators: positive emotions, […] The post Analysing World Happiness Report (2020-2022) appeared first on Analytics Vidhya. In line with the latest World Happiness Report, it is evident that being happy has become a worldwide priority.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

The creation of this data model requires the data connection to the source system (e.g. SAP ERP), the extraction of the data and, above all, the data modeling for the event log. Note from the author: Although object-centric process mining was introduced by Wil M.P.

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Top Data Analytics Skills and Platforms for 2023

ODSC - Open Data Science

While a data analyst isn’t expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and data mining as additional techniques to help further analytics. Cloud Services: Google Cloud Platform, AWS, Azure.

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MLOps and the evolution of data science

IBM Journey to AI blog

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications.

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10 takeaways from 10 years of data science for social good

DrivenData Labs

For example, an NSF survey reports that in 2022, 94% of larger non-profits that are not small, local organizations did not have any R&D activity (see the survey technical note for a more detailed breakdown). What some in the sector may not realize is that data science is most often an R&D activity.