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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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Crypto AI agents: How AI is revolutionizing cryptocurrencies?
On one hand, we have the ultra-dynamic field of cryptocurrencies. Many believe it is teeming with opportunities just waiting to be grasped. On the other hand, there’s artificial intelligence, offering its analytical prowess at any time of the day or night. By combining these two forces, can we achieve the best of both worlds?
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Kibana: The tool for visualizing data indexed with ELK
The development of Big Data has pushed the creation of a wide variety of tools that facilitate the task of highlighting and studying the value of data. For example, Elasticsearch and Kibana belong to this large ecosystem of languages, tools, and systems for exploring data and deriving relevant insights.
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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 (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: 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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Looker Studio: Google’s free data visualization tool
Better understand your customer, optimize your inventory, improve marketing campaigns, boost sales performance, … Data provides a definitive competitive edge to businesses. However, they must know how to harness it correctly. While data analysis is crucial in today’s landscape, it demands specific competencies. Thankfully, tools like Looker Studio simplify the data analytics process. Discover this solution.
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Transitioning into AI: How to do it? What are the prospects?
Artificial Intelligence (AI) is experiencing a surge, revolutionizing industries and reshaping the jobs of the future. Engineers, data scientists, and AI researchers are now pivotal players across various sectors. An increasing number of individuals from different backgrounds are gravitating towards AI, drawn by its numerous opportunities, versatility, and potential for growth. Why and how should one transition into AI? This article delves into the reasons behind this emerging trend and offers crucial insights for successfully navigating such a transition.
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Quantitative Analyst: Discover the best courses
A Quantitative Analyst course equips you with all the skills needed to become a Quantitative Analyst. Explore how to pursue training for this highly sought-after career in the finance sector. In the world of finance, luck has no place. Companies now turn to Quantitative Analysts: professionals capable of developing complex mathematical models to minimize risks, enhance security, and make investment decisions.
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Neural vs Neuronal: What is it? What’s the difference?
Discover DeepSeek Coder V2, the AI that transforms programming. From code generation and debugging to optimization: see how this tool enhances developers’ productivity while minimizing errors. Explore its features, advantages, and limitations in detail.
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Power BI Time Intelligence: Everything you need to know about these DAX functions
Power BI is highly useful for comparing two time periods. Thanks to DAX functions and Quick Measures, you can easily compare data for the same period from one year to the next or from the beginning of the year to the current date. Discover everything you need to know about Time Intelligence functions for Power BI.
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MongoDB : Learn all about the NoSQL database
MongoDB is a document-oriented NoSQL database. It differs from relational databases in its flexibility and performance. Find out everything you need to know about this must-have tool for data engineering.
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