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In the age of Big Data, the problem is no longer access to data, but understanding it. And with good reason: the sheer volume of
To manage and analyze functional data, data experts can use a wide variety of tools. These include SQL and Panda and tghe Pandas Read SQL
Kruskal’s algorithm for optimizing connections within a network is one of the key concepts in Machine Learning. Find out how it works and why it’s
La divergence de Kullback-Leibler est une mesure de similarité entre deux distributions de probabilité, très utilisée pour l’analyse de données et le Machine Learning. Découvrez
Artificial Intelligence tools are becoming more and more effective at processing natural language, thanks in particular to more sophisticated use of semantic analysis. In this
The Microsoft MB-260: Microsoft Customer Data Platform exam assesses mastery of the Dynamics 365 Customer Insights cloud service and other customer data management platforms. Find
While it is common practice for developers to write programs in a “high-level” language such as Python or Java, these same programs need to be
SQL databases usually contain several hundred or even several thousand lines. But very often, modifications, selections, updates and other instructions only affect a few rows.
You no longer need to be a professional developer to create software and applications. Thanks to low-code and no-code platforms, it is now possible to
If you program in Python, you’ve inevitably drawn tools from PyPI. What began as a public platform for sharing Python services has become the central
GPT-4, PaLM 2, BARD… advances in artificial intelligence are multiplying all the time. And above all, they are becoming accessible to all. Not just data
Automated Prompt Engineering is a new approach to automating the engineering and writing of prompts for Large Language Models (LLMs) such as GPT and other
