Bobbe Cook - Profile and Journalist Details

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Bobbe Cook

Bobbe Cook

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Content Manager, Publisher, The Machine Learning Times

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iPhone Hacks Apple RumorsApple News Apple Tutorials

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tech, markets

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Content

Total articles 22

  • Real-Time Machine Learning: Why It's Vital and How to Do It

    By Bobbe Cook| Analytical World Blog@ By:  Eric Siegel, Predictive Analytics WorldThis article is sponsored by IBM. SUMMARY: Organizations often miss the greatest opportunities that machine learning has to offer because tapping them requires real-time predictive scoring. In order to optimize the very largest-scale processes – which is a vital endeavor for your business – predictive scoring must take place right at the moment of each and every interaction.

    By Bobbe Cook · Analytical World Blog

    Jun. 19, 2021

  • Liftoff: The Basics of Predictive Model Deployment

    By Bobbe Cook| Analytical World Blog@ By: Eric Siegel, Predictive Analytics WorldThis 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.

    By Bobbe Cook · Analytical World Blog

    May. 30, 2021

  • Real-Time Machine Learning: Why It's Vital and How to Do It

    By Bobbe Cook| Analytical World Blog@ By:  Eric Siegel, Predictive Analytics WorldThis article is sponsored by IBM. SUMMARY: Organizations often miss the greatest opportunities that machine learning has to offer because tapping them requires real-time predictive scoring. In order to optimize the very largest-scale processes – which is a vital endeavor for your business – predictive scoring must take place right at the moment of each and every interaction.

    By Bobbe Cook · Analytical World Blog

    Jun. 19, 2021

As seen in

Company Info

The Machine Learning Times

Join us in Las Vegas for Machine Learning Week 2020 (formerly Mega-PAW), our largest event to date, with eight tracks of sessions covering the commercial deployment of machine learning. Register to attend one or more of MLW's five co-located conferences: PAW Business, PAW Financial, PAW Industry 4.0, PAW Healthcare, and Deep Learning World.

United States, United States

Founded: 2009