The Myth of the Machine Learning Black Box

Webinar
DataRobot The Myth of the Machine Learning Black Box Resource card v2.0

Critics describe machine learning as a “black box”, where data goes in and a prediction comes out, without visibility into how the prediction was derived. This lack of transparency makes it difficult to evaluate and update predictive models as conditions change or new sources of data become available. But today’s machine learning systems are not black boxes, allowing data scientists and business professionals alike to understand how a model makes its predictions.

DataRobot The Myth of the Machine Learning Black Box Resource card v2.0

In this 60-minute webinar, we'll show you:

  • Why machine learning is replacing generalized linear models and statistical modeling in many data science efforts
  • How today's automated machine learning systems provide the information and visualizations that deliver deep insights that break out of the black box
  • The elements of machine learning transparency and a demonstration of DataRobot's visualizations and tools for insights

Speakers

Greg Michaelson

Director of DataRobot Labs

  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Evariant