2001, 2014, Deep Learning and Testing

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

APRIL 3, 2019

We find ways to improve machine learning so that it requires orders of magnitude more data, e.g., deep learning with neural networks. My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. Does machine learning change priorities? It’s a mess.

Data Governance

Data Governance Machine Learning Metadata Big Data

Data Science at The New York Times

Domino Data Lab

JULY 9, 2019

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion.

Data Science

Data Science Machine Learning Advertising Modeling

Data Leaders Brief

Themes and Conferences per Pacoid, Episode 8

Data Science at The New York Times

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