Join 📚 Kevin's Highlights
A batch of the best highlights from what Kevin's read, .
**Data Minds** are *data producers* (predominantly Data engineers) who *build infrastructure and data products* for consumption by business users or end users.
**Business minds** are *data consumers* of this made-available data that *perform analysis* to aid in business decisions or strategies.
Both of these minds view data differently based on their roles, and their view of data quality is very different, as are their measurement and observations made.
Different personas ( Data Engineers, Scientists, Data Stewards, Data Analysts, etc.) look at the same data through different lenses; however, they still need to come together and collaborate to win.
This support of various personas is foundational and critical for better business outcomes and to enable organizations to become more data-driven.
What Is Modern Data Quality?
Vanitha
it’s important to realize that **ChatGPT and LaMDA aren’t trained to be correct**.
You can train models that are optimized to be correct—but
that’s a different kind of model.
Models like that are being built now;
they tend to be smaller and trained on specialized data sets
(O’Reilly Media has a search engine that has been trained on the 70,000+ items in our learning platform).
And you could integrate those models with GPT-style language models, so that
one group of models supplies the *facts* and
the other supplies the *language*.
Sydney and the Bard
Mike Loukides
9. What distribution is typically used to estimate the mean of a normally distributed population when its standard deviation is unknown?
Fifteen Questions to Test Your Statistics Knowledge
Keith McNulty
...catch up on these, and many more highlights
Readwise