Decoded©
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Big Data: Definition, technologies, uses and training
<p>Big Data refers to the large amount of data collected by companies in all industries, analyzed to derive valuable insights. Find out everything you need to know about the subject. What is called Big Data? Before defining Big Data it is important to understand what Data is. This term defines quantities, characters or symbols that […]</p>
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Kimball Method: What is it? How do I use it?
<p>The volume of data generated and used by companies continues to grow exponentially. In this context, the efficient structuring and organization of this data for optimal analysis is of paramount importance. Dimensional modeling is an inescapable solution to this challenge. It is a methodological approach to the design of data warehouses. Ralph Kimball, a pioneer […]</p>
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U-NET: Computer Vision’s neural network
<p>U-NET is a neural network model dedicated to Computer Vision tasks and more particularly to Semantic Segmentation problems. Discover all you need to know: presentation, functioning, architecture, advantages, training… Artificial intelligence is a broad technology with many branches. Computer Vision is one of these sub-categories. It is an interdisciplinary scientific field that aims to enable […]</p>
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Power Query Date Format: How to change it on Excel and Power BI
<p>There are different ways to change the Power Query Date Format for Microsoft Excel or Power BI: an indispensable task for data analysis and Business Intelligence. Find out everything you need to know! When collecting data from different sources, it’s not uncommon to be confronted with dates in different formats. This can cause problems. That’s […]</p>
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Demystifying Power BI Date Formats: The Most Commonly Used Formats
<p>Power BI is a business analysis and data modelling service for confident decision-making. By connecting all your data sources at the scale you need, you can visualise and share insights across the whole organisation. Power BI is based on the principle of Business Intelligence. Many users have difficulty formatting dates in Power BI. Find out […]</p>
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K-Means Clustering in Machine Learning: A Deep Dive
<p>Clustering is a specialized discipline within Machine Learning aimed at separating your data into homogeneous groups with common characteristics. It’s a highly valued field, especially in marketing, where there is often a need to segment customer databases to identify specific behaviors. The K-means algorithm is a well-known unsupervised algorithm in the realm of Clustering. In […]</p>
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Power Query: What is it? What’s it for?
<p>If data analysis is increasingly valued by companies, data analysts must undertake a significant amount of preparation work before they can make use of the available information. Fortunately, there are tools that facilitate data processing from various sources. This is particularly the case with Power Query. So, what is it? What is its purpose? What […]</p>
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Dust: What is it? How can it be used for prompt engineering?
<p>With the proliferation of generative AI tools, mastering the art of writing prompts is proving more than essential. But at the speed at which artificial intelligence solutions are evolving, many users are feeling lost. That’s when Dust was born. This prompt engineering tool helps users not only to write relevant guided messages, but also to […]</p>
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SHapley Additive exPlanations or SHAP : What is it ?
<p>SHapley Additive exPlanations, more commonly known as SHAP, is used to explain the output of Machine Learning models. It is based on Shapley values, which use game theory to assign credit for a model’s prediction to each feature or feature value. The way SHAP works is to decompose the output of a model by the […]</p>
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What is Cybernetics? Definition, history, and applications
<p>Cybernetics is a science at the intersection of technology, biology, and social sciences, shaping our understanding of complex systems and transforming our world at breakneck speed. Discover its history, current applications, and future prospects! Imagine a world where machines can think, adapt, and evolve, where biological and technological systems interact seamlessly and harmoniously. This is […]</p>
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Grafana: Everything you need to know about this data analysis solution
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You Only Look Once (YOLO): What is it?
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