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Power law: understanding the relationships between variables
<strong>What if everything was connected? Well, maybe not everything. But a large part of natural phenomena. This is at least what the power law reveals. This mathematical concept establishes dynamic relationships between variables that do not follow the same models. Discover this law in more detail.</strong>
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Shadow AI: What is it? What are the issues?
<strong><html><head/><body><b>The emergence of tools like ChatGPT has transformed work practices. While their utilization promises increased efficiency and time savings, it also introduces a new concern: </b><b><i>Shadow AI…</i></b><b> Here’s why this practice is alarming and how it can be managed.</b></body></html></strong>
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Pipeline: Definition, operation and usefulness in Data Science
<p><strong>A pipeline is a <b>set of processes and tools</b> used to collect raw data from multiple sources, analyze it and present the results in an understandable format. Companies use data pipelines to <b>answer specific business questions</b> and make strategic decisions based on real data. All available <b>data sets</b> (internal or external) are analyzed to obtain this information.</strong></p>
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AGI, or General Artificial Intelligence: What is it?
<strong>For better or worse, the advent of autonomous superintelligence might sooner or later come to pass. The consequences for our civilization could surpass imagination…</strong>
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Microsoft Phi-4: What are the particularities of this AI model?
<strong><html><head/><body><b>Phi-4 is the newest language model developed by Microsoft, pushing the boundaries of small language models with no fewer than 14 billion parameters. It’s designed for top-notch performance in complex reasoning, especially in mathematics, while excelling in classic language processing.</b></body></html></strong>
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Software Development: What is it? How does it work?
<strong><html><head/><body><b>Explore the essentials of software development and the crucial steps involved in creating high-performance and scalable applications. From conducting a needs analysis to selecting technologies and deploying in production, uncover the secrets to a successful project.</b></body></html></strong>
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Deeptech: What is it? What are the challenges in France?
<strong><html><head/><body><b>Deeptech transforms science into concrete solutions. By combining fundamental research and breakthrough innovations, it paves the way for technologies capable of addressing the major challenges of our time. Discover what Deeptech truly entails, its sectors of application, strategic challenges, and the opportunities it presents for startups and talents alike.</b></body></html></strong>
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ChatGPT jailbreak: What is it? How to do it?
<strong>Writing summaries, translating text into different languages, brainstorming, coding… ChatGPT performs wonders. However, to avoid offending the more sensitive, the artificial intelligence tool has certain barriers.</strong>
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[2025] Salary in a professional training in France
<strong><html><head/><body><b>The professionalization contract is an effective solution for combining training with corporate experience. But what is the salary for a work-study student under this type of contract in 2025?</b> <b>Similar to an apprenticeship contract, the pay of an employee on a professional contract depends on several criteria, including age and level of qualification.</b></body></html></strong>
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AWS SageMaker: A guide for using the platform
<strong>Amazon SageMaker is a cloud platform developed by Amazon Web Services (AWS) that is particularly useful for data science. Below you can learn more about the main features and how to use the tools of the platform from the development of a machine learning model to its deployment.</strong>
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Analytics Engineer: roles, skills, salary, and training
<strong><html><head/><body>The Analytics Engineer, a hybrid of a <a href="/en/courses/data-ai/data-analyst">Data Analyst</a> and a <a href="/en/courses/data-ai/data-engineer">Data Engineer</a>, has become an indispensable role in contemporary businesses since its inception in 2018. Possessing both technical prowess and business acumen, they are pivotal in harnessing data, especially customer data, to refine business strategies and enhance decision-making processes.</body></html></strong>
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Data leakage: Understanding it and preventing it
<p><strong>Data leakage is one of the <b>most important points of vigilance</b> when designing a predictive model. The creation of a <b>predictive model</b> stems from an operational need, and the aim is to create a predictive tool to meet business expectations. <b>Performance</b> and <b>transparency</b> are the watchwords of a good predictive model. </strong></p>
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