Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

OCTOBER 12, 2022

Academic Quantitative Analysis represents the next chapter in zip code analysis; this form of analysis focuses on the interplay between variables after they have been operationalized, allowing the analyst to study and measure outcomes ( Quantitative and statistical research methods: from hypothesis to results , Bridgmon & Martin, 2006.).

Statistics 52

Statistics Sales Testing Marketing 52

O'Reilly on Data

JULY 25, 2023

I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming. Swift Papers felt like a well-scoped project to test how well AI handles a realistic yet manageable real-world programming task. Setting the Stage: Who Am I and What Am I Trying to Build? That is the basic premise of my project.

Consulting 246

Consulting Interactive Software IT 246