Author of the future

  • Data Strategist: Everything you need to know about this data profession

    Data Strategist: Everything you need to know about this data profession

    The Data Strategist is a professional responsible for developing a data-driven strategy within a company. Find out all you need to know about this fast-growing role!

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  • svm

    SVM (Support Vector Machines) Unveiled: Understanding, Implementation, Significance

    Welcome to the first part of this mini-series dedicated to SVM. When we think of Machine Learning, we generally think of recent methods that are still poorly understood and used empirically, like a sorcerer’s apprentice. Indeed, genetic algorithms, neural networks, boosting… these algorithms are often described as “black boxes”. In other words, while it’s easy […]

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  • BASH

    Bash (Bourne-Again shell): principle, benefits, training

    Bash is the most popular shell, widely used in the field of computer programming, as well as for Data Science and Machine Learning. Discover everything you need to know about it: how it works, its utility, benefits, and available training.

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  • data architect

    Data Architect training: skills, salary, education

    The Data Architect is a professional responsible for designing a company’s data architecture. He or she defines the data collection and storage system, enabling Data Scientists to analyze the data. Find out how to train to become a Data Architect in this highly sought-after profession!

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  • svm

    SVM (Support Vector Machines) Unveiled: Understanding, Implementation, Significance – Part 2

    Welcome to the second part of this dossier dedicated to Vector Machine Support. In the previous article, we detailed the operation and main shortcomings of Maximal Margin Classifiers. Our aim now is to allow our algorithm to make a certain number of errors when selecting the separation line. This is known as the “soft margin”. […]

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  • mlops

    MLOps: DevOps applied to Machine Learning projects

    In a previous article, we presented the DevOps philosophy, and how this new approach enables faster value delivery for businesses through the unification of development (Dev) and operations (Ops) teams, which previously worked in silos. In this article, we’ll look at the application of this approach to Machine Learning problems: we’re talking about MLOps.

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  • SEO, or Search Engine Optimization, is the practice of optimizing a website or online content to improve its visibility and ranking in search engine results pages (SERPs) for relevant keywords and phrases.

    SEO (Search Engine Optimisation): What is it? What is it used for?

    A successful business is very often a visible business. In the age of the Internet, this visibility is achieved through search engines such as Google, Bing and Yahoo. But competition there is fierce. To make your mark, it’s vital to adopt the right strategy, namely SEO. In this article, we’ll explain what SEO is all about, as well as the upheavals brought about by Artificial Intelligence.

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  • microservices

    Microservices: Definition, operation, benefits

    Microservices architecture is an innovative approach to software development that has gained in popularity in recent years. This solution involves dividing an application into several small, simple and independent services.

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  • Discover everything you need to know about Qlik Sense, a powerful business intelligence tool. Learn how Qlik Sense empowers organizations to unlock insights, make data-driven decisions, and drive business growth.

    What you need to know about Qlik Sense

    When it comes to data analysis, Qlik Sense is currently the most talked-about data analytics platform, not least thanks to its greatest asset: its data visualization tools. Indeed, in terms of data-driven decision-making and reporting (in addition to QlikView), Qlik Sense offers end-users the very best at their fingertips for creating and managing interactive dashboards.

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  • How does the Facebook Ads algorithm work?

    How does the Facebook Ads algorithm work?

    Have you ever seen an ad on your Facebook or Instagram feed that relates to your passion, sporting activity or interests? It’s perfectly normal. Meta (the parent company of Facebook and Instagram) offers today’s most personalized advertising experience.

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  • Discover everything you need to know about Jensen-Shannon Divergence, a vital concept in machine learning. Learn its principles, applications, and how it measures the similarity between probability distributions, guiding your understanding of complex data analysis.

    Jensen-Shannon divergence: Everything you need to know about this ML model

    The Jensen-Shannon divergence is used to measure the similarity between two probability distributions, particularly in the field of Machine Learning. Find out everything you need to know about this measure, from its history to its modern applications!

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  • dataflow power bi

    Dataflow Power BI: everything you need to know about the self-service ETL tool

    Dataflow Power BI: Power BI’s Dataflow is a self-service data integration tool for Microsoft’s Business Intelligence platform. Find out how Dataflow works and how to learn how to use it.

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