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Minerva – Google’s Language Model for Quantitative Reasoning

Analytics Vidhya

Introduction to Minerva [link] Google presented Minerva; a neural network created in-house that can break calculation questions and take on other delicate areas like quantitative reasoning. Recently, experimenters have developed a very sophisticated natural language […].

Modeling 399
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End to End Statistics for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Statistics Statistics is a type of mathematical analysis that employs quantified models and representations to analyse a set of experimental data or real-world studies. Data processing is […].

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A Trick, a Tip and a Thing to Try in Your Next Presentation

Depict Data Studio

. —– I teach art and design at the University of Montana, and completed Ann’s Powerful Presentations course during Spring 2021. Presentations Trick: Adding Perfect Shapes. Presentations Tip: Monochromatic Tints of Brand Colors. This is a time-saver and adds a sense of visual cohesion to any presentation.

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Corinium Meets: Quantum Metric Head of Behavioural Research Marina Shapira

Corinium

Ahead of her presentation at CDAO UK, we spoke with Quantum Metric’s Marina Shapira about predictive analytics, why companies should embrace a culture of experimentation how and CAOs and CXOs can work together effectively. What is behavioural research? And what role should it play in an organization's data and analytics strategy?

Metrics 300
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Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 362
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What LinkedIn learned leveraging LLMs for its billion users

CIO Business Intelligence

Fits and starts As most CIOs have experienced, embracing emerging technologies comes with its share of experimentation and setbacks. Operating in real-time LinkedIn’s sheer scale presents another challenge for job matches. CIOs in every vertical can take a tip or two from the lessons LinkedIn learned along the way.

IT 75
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Robust Experimentation and Testing | Reasons for Failure!

Occam's Razor

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.