Annabelle Gillet & Eric Leclercq - TDM: breaking through dimensions with tensors

This talk was given at ScalaCon on May 19th, 2021 by Annabelle Gillet & Eric Leclercq.

TDM: breaking through dimensions with tensors

In this talk, we will introduce you to the wonderful world of tensors, that are powerful mathematical objects. As they can easily represent various data models (relational, graph, etc.) and leverage multi-dimensional analytics, they show their advantages in a wide range of domains such as in brain signal analysis, computer vision or social network analysis.

Some libraries only use tensors for their modeling capabilities, and others stick to the mathematical point of view while neglecting data. It induces bad coding habits as well as error-prone preparation steps.

With TDM, we aim at providing a data-centric tensor library, relying on Spark for large-scale capabilities and on shapeless to implement fully type-safe tensor manipulation operators. TDM contains advanced analytics operators, such as tensor decompositions, to extract value from multi-dimensional data. We will present the library, its mechanisms and capabilities, and we will show some examples of its uses.

Speakers:
Annabelle Gillet
Eric Leclercq

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