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Tales of Data Modelers

Dataversity

Reading Larry Burns’ “Data Model Storytelling” (TechnicsPub.com, 2021) was a really good experience for a guy like me (i.e., someone who thinks that data models are narratives). However, this post is not a review of Larry’s book. The post Tales of Data Modelers appeared first on DATAVERSITY.

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Data science revolution 101 – Unleashing the power of data in the digital age

Data Science Dojo

The primary aim is to make sense of the vast amounts of data generated daily by combining statistical analysis, programming, and data visualization. It is divided into three primary areas: data preparation, data modeling, and data visualization.

professionals

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On the implementation of digital tools

Dataconomy

I’ve found that while calculating automation benefits like time savings is relatively straightforward, users struggle to estimate the value of insights, especially when dealing with previously unavailable data. We were developing a data model to provide deeper insights into logistics contracts.

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Introduction to Power BI Datamarts

ODSC - Open Data Science

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. No-code/low-code experience using a diagram view in the data preparation layer similar to Dataflows.

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The innovators behind intelligent machines: A look at ML engineers

Dataconomy

Machine learning requires computation on large data sets, which means that a strong foundation in fundamental skills such as computer architecture, algorithms, data structures, and complexity is crucial. It is essential to delve deeply into programming books and explore new concepts to gain a competitive edge in the field.

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The Ascent of ChatGPT

ODSC - Open Data Science

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. They are designed to understand and generate human-like language by learning from a large dataset of texts, such as books, articles, and websites.

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What Are ChatGPT and Its Friends?

Flipboard

It has helped to write a book. The world is full of uncreative boilerplate content that humans have to write: catalog entries, financial reports, back covers for books (I’ve written more than a few), and so on. Many applications built on language models use a hidden layer of prompts to tell the model what is and isn’t allowed.

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