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How to use big data and predictive analytics to improve the overall performance of your HR management

Big Data combined to predictive analytics can open a tremendous potential for HR professionals and may generate huge benefits for all stakeholders in the organization: HR business partners, managers and employees...

How to choose the right TS model for your prediction

Choosing the right model for predicting a time series is always a tedious task. In this article, we will browse the points to consider to make the right choice.

What data for a relevant sales forecast?

In order to generate models capable of accurately predicting future sales, machine learning must rely on multiple variables. Here we provide an overview of the different types of variables used, as well as the types of data from which they can be derived.

Sales forecasting: how to improve it thanks to machine learning?

Discover how to improve your sales forecasting and reduce contextual risks with machine learning.

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How to improve stock forecasting with machine learning?

The right product, at the right price, in the right place: discover how to forecast and optimize stocks thanks to machine learning.

Confidence intervals for XGBoost

Guillaume Saupin, CTO at Verteego proposes us to discover how to extend the possibilities of the famous XGBoost algorithm thanks to new objective functions. These new functions allow the calculation of confidence intervals, which are a way for data specialists to calculate sales forecasts in retail.

Pricing strategy: Find the best price optimization technique with machine learning

Find out how machine learning can help you determine the best pricing strategy for successful sales or promotions. Case study…

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