Data Leaders Brief

The importance of structure, coding style, and refactoring in notebooks

Domino Data Lab

JULY 1, 2020

Notebooks are increasingly crucial in the data scientist’s toolbox. Although considered relatively new, their history traces back to systems like Mathematica and MATLAB. For Data Scientists, spinning up notebook instances as the first step in exploratory data analysis has become second nature. Notebook Structure.

Testing

Testing Data Science Machine Learning Data-driven

Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. Introduction.

Deep Learning

Deep Learning Modeling Metrics Testing

Data Leaders Brief

The importance of structure, coding style, and refactoring in notebooks

Deep Learning Illustrated: Building Natural Language Processing Models

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