Wes Madrigal

Wes Madrigal

ML Engineer at Mad Consulting

    Wes is a machine learning expert with over a decade of experience delivering business value with AI. Wes's experience spans multiple industries, but always with an MLOps focus. His recent areas of focus and interest are graphs, distributed computing, and scalable feature engineering pipelines.

    All Sessions by Wes Madrigal

    Day 1 04/23/2024
    4:35 pm - 5:35 pm

    Using Graphs for Large Feature Engineering Pipelines

    <span class="etn-schedule-location"> <span class="firstfocus">Machine Learning</span>

    Graph data structures provide a versatile and extensible data structure to represent arbitrary data. Data entities and their associated relations fit nicely into graph data structures. We will discuss GraphReduce, an abstraction layer for computing features over large graphs of data entities. This talk will outline the complexity of feature engineering from raw entity-level data, the reduction in complexity that comes with composable compute graphs, and an example of the working solution. We will also discuss a case study of the impact on a logistics & supply chain machine learning problem. If you work on large scale MLOps projects, this talk may be of interest.

    Open Data Science

     

     

     

    Open Data Science
    One Broadway
    Cambridge, MA 02142
    info@odsc.com

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