Saturday 10:00 AM–10:45 AM in Speakeasy

Closing the Machine Learning Loop using Python

Randall Shane, PhD

Audience level:
Intermediate

Description

This session provides insight into developing machine learning systems that improve through closing the feedback loop, re-evaluate accuracy and generating more intelligent output given each iteration of data.

Abstract

Closing the Machine Learning Loop using Python

The What Section:

  • What is Machine Learning?
  • What does that mean for programmers?
  • What is a feedback loop?

The How Section:

  • Planning for improvement
  • Architecture
  • Keeping Track
  • What is and is not important
  • Evaluating behavior

Example

  • Walk through example

Q&A

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