Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
MLW Preview Video: Ayush Patel, Co-Founder at Twelvefold
 In anticipation of his upcoming presentation at Predictive Analytics...
MLW Preview Video: Sarah Kalicin, Data Scientist at Intel Corporation
 In anticipation of her upcoming keynote presentation at Predictive...
MLW Preview Video: Praneet Dutta, Senior Research Engineer at DeepMind
 In anticipation of his upcoming presentation at Deep Learning...
MLW Preview Video: Dean Abbott, President at Abbott Analytics
 In anticipation of his upcoming pre-conference workshop and presentations...
SHARE THIS:

2 years ago
Liftoff: The Basics of Predictive Model Deployment

  This article is based on the transcript of one of 142 videos in Eric Siegel’s online course, Machine Learning Leadership and Practice – End-to-End Mastery. Developing a good predictive model with machine learning isn’t the end of the story — you also need to use it. Predictions don’t help unless you do something about them. Your model may be elegant and brilliant, glimmering like the most polished of crystal balls, but displaying it in a report gains you nothing — it just sits there and looks smart. Stagnation be damned — deployment to the rescue! Predictive models

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.