Author of the future

  • n8n: An Overview of the Workflow Automation Tool

    In business, redundant, day-to-day tasks are known as superfluous tasks. These tasks, which do not require any particular skills, can be detrimental to the productivity of your teams. Many new tools are emerging to automate these tasks and processes and keep employees motivated. Today we are going to present N8N, a free, open source workflow […]

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  • NoSQL: All about non-relational databases

    NoSQL is a type of database, whose specificity is to be non-relational. These systems allow the storage and analysis of Big Data. Find out everything you need to know: definition, history, functioning, use cases, advantages, training… In the age of Big Data, relational databases are no longer adequate. To handle the immense volumes of data, […]

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  • Kolmogorov-Smirnov Test: Understanding this Statistical Method

    <strong>The Kolmogorov-Smirnov test is a widely used method for comparing data. Discover the amazing story of its invention, and how it is used today in Data Science!</strong>

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  • Scapy: Everything you need to know about the Python-based network packaging tool

    Scapy is a tool for manipulating computer network packets written in Python. It allows, among other things, the forging or decoding of packets, as well as tasks such as scanning, tracerouting, and unit testing. Discover everything you need to know: advantages, operation, training, and more.

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  • Image Processing: fundamental principles and practical uses

    Images contain a wealth of important information. While they are easily discernible to our accustomed eyes, they pose a real challenge in data analysis. The collection of techniques used for this purpose is known as “image processing.” In this article, you will explore the classic algorithms, techniques, and tools for processing data in the form of images.

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  • What is Healthcare Data Analytics?

    Healthcare Data Analytics is the analysis of health data produced by the medical sector, driving substantial improvements in care and clinical outcomes. Learn everything you need to know about this groundbreaking field: types of data, analysis methods, concrete applications… here’s how Data Science is transforming the modern medical landscape!

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  • MAC Address: What is it? What is it used for?

    <strong>A MAC (Media Access Control) address is a unique identifier assigned to every network interface of a device. It plays a pivotal role in facilitating communication within <a href="https://liora.io/en/all-about-network-operating-system"><u>local networks</u></a>. MAC addresses are hard-coded into the network hardware during manufacture, serving a vital function in the identification of devices within a network.</strong>

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  • Prompt Library: What is an AI prompt library, and how do you create your own?

    A Prompt Library is a library of high-quality prompts ready to be used to give instructions to generative AIs such as ChatGPT. It allows you to obtain the best results without having to start writing prompts from scratch for each request. Find out everything you need to know!

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  • 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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  • Zero click attack: How does it work? How can you protect yourself?

    A zero-click attack is a cyber attack that allows a computer system to be attacked without the victim even needing to intervene. Find out everything you need to know about this method, which is increasingly used by hackers, how it works and how you can learn to protect yourself!

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  • Fine tuning vs Prompt Engineering: What’s the difference?

    GPT-4, PaLM 2, BARD… advances in artificial intelligence are multiplying all the time. And above all, they are becoming accessible to all.

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  • Kernel: everything you need to know about the Machine Learning method

    The Kernel is a Machine Learning classification method. Find out everything you need to know about it, and how to train to become a Data Scientist or Data Analyst.

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