AI

Dynamic Pricing with Multi-Armed Bandit: Learning by Doing | by Massimiliano Costacurta | Aug, 2023

Applying Reinforcement Learning strategies to real-world use cases, especially in dynamic pricing, can reveal many surprises Photo by Markus Spiske

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Your Data’s (Finally) In The Cloud. Now, Stop Acting So On-Prem | by Barr Moses | Aug, 2023

The modern data stacks allow you to do things differently, not just at a larger scale. Take advantage of it.

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Comparing 5+ LLMOps Tools: A Comprehensive Vendor Benchmarking

The number of large language models llms has been increasing since 2019 (See Figure 1) due to the models’ extensive

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What Is Data Quality?. Discover Methodologies to Ensure… | by Samir Saci | Aug, 2023

Discover Methodologies to Ensure Accuracy, Consistency and Completeness of Supply Chain Data What is Data Quality? — (Image by Author)

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XGBoost: The Definitive Guide (Part 2) | by Dr. Roi Yehoshua | Aug, 2023

Implementation of the XGBoost algorithm in Python from scratch Image by StockSnap from Pixabay In the previous article we discussed

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From Numbers to Actions: Making Data Work for Companies | by Michał Szudejko | Aug, 2023

What flops and what works? Today, organizations and individuals are swamped with data. Each day, 329 million terabytes of data

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Spoken language recognition on Mozilla Common Voice — Audio Transformations. | by Sergey Vilov | Aug, 2023

Photo by Kelly Sikkema on Unsplash This is the third article on spoken language recognition based on the Mozilla Common

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Combining Actuals and Forecasts in one continuous Line in Power BI | by Salvatore Cagliari | Aug, 2023

In several businesses, we have the Actual Sales and Forecasts. We can add these numbers to one line chart and

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Using Bayesian Networks to forecast ancillary service volume in hospitals | by Gabe Verzino | Aug, 2023

A Python example using diagnostic input variables Photo from Unsplash, by EJ Strat Since I’ve been working with healthcare data

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