20 Data Science articles from February 2023
/Five statistical paradoxes that data scientists should be aware of in order to do accurate analysis
Software to sow doubts as you meta-analyze
Six of the most important types of machine learning algorithm
“Big Data is real, but most people may not need to worry about it”
The ChatGPT prompts any data scientist must use
No, chatbots aren’t sentient. Here’s how their underlying technology works
5 Common Data Analytics Types Explained in Laymen’s Terms
Using the metaverse to virtually assemble and test AI war machines for the US military
Researchers discover a more flexible approach to machine learning—liquid neural nets
The evolving role of the data engineer
Top Predictive Analytics Trends in 2023
How NGA Is integrating commercial analytic services into agency workflows
Python string matching without complex RegEx Syntax
Six python libraries especially useful to data engineers and natural language processing