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The Machine Learning Lifecycle and MLOps: Building and Operationalizing ML Models - Part II

May 12, 2021 by Kevin Petrie in Decoding Data Software

ABSTRACT:

To build a machine learning model, choose an ML technique and feed data to its algorithm to train it. You make changes until you have an accurate ML model.

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Slides: Best Practices in Augmented Analytics: Techniques for Driving Adoption

May 12, 2021 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

Understand the Analytics Adoption Framework and the major factors that contribute to widespread adoption of BI and analytics tools and features.

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Webinar: Best Practices in Augmented Analytics: Techniques for Driving Adoption

May 12, 2021 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

Understand the Analytics Adoption Framework and the major factors that contribute to widespread adoption of BI and analytics tools and features.

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From Analysis to Action: Data-Driven vs. Data-Informed

May 12, 2021 by Dave Wells in Data Management

ABSTRACT:

Data-driven decision making is a popular concept for modern business. But it is not the only way to act on analysis, and often not the best way.

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Webinar: Modern BI for All: Why Invest in a Unified Data and Analytics Platform

May 03, 2021 by Joe Hilleary in Delving Into Data

ABSTRACT:

UDAPs provide a single, end-to-end experience that combines the data and analytics stacks—reducing time to in-sight and increasing user adoption.

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