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Claude Computer: Understanding this revolutionary feature of Anthropic
Discover Claude AI Computer Use, the groundbreaking tool that empowers artificial intelligence to take control of your computer, automating complex tasks. In this article, we detail how to install it, use it effectively, and explore its applications in various fields, from software development to business automation. We also compare the Claude 3.5 Sonnet and Claude 3.5 Haiku models to help you select the best solution for your needs.
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Autogen: AI Agent Collaboration by Microsoft
Autogen is the open-source framework that Microsoft has developed to orchestrate multiple AI agents, enabling them to collaborate as a real team. Discover how it is transforming the use of generative AIs by encouraging communication between agents, integrating human involvement, and collectively tackling complex tasks!
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Expected goals: Understand the math behind it
The number of expected goals is a new performance indicator that has recently appeared in soccer analysis. This statistic is increasingly used to interpret the physiognomy of a match, but do we really know how to interpret it?
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Scikit Learn: Discover the Python library dedicated to Machine Learning
If you study data and want to derive information from it, you will often need to process the data, modify it and, above all, build models capable of learning patterns in your data for a chosen problem. There are a number of open source libraries available to do this, but the best-known of these is surely Scikit Learn.
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Power BI Gateway: What is it? How do I use it?
Power BI Gateway is the gateway that connects the cloud to on-premises data. Find out everything you need to know about this essential Power BI feature, and how to learn how to use Microsoft’s software.
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Excel vs. Power BI: What are the differences?
In the past, Microsoft Excel was the default solution for Business Intelligence and Data Visualization. However, since its introduction, Power BI has gradually replaced it. Companies use both Excel and Power BI, but what are the differences? What are their respective advantages and disadvantages?
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What is the best master in data science?
Masters in data science are becoming more and more successful. And with good reason: the increased digitization of data that is difficult to tame and understand. While companies are increasingly looking for profiles capable of decrypting and manipulating their data in order to improve their strategy, students are aware of the added value that the acquisition of technical, analytical and strategic skills represents for both them and their employers. Obtaining a master’s degree in data sciences is an excellent way to gain the knowledge and experience needed to stand out in this competitive field and gain a competitive edge.
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Deepseek Coder V2: The AI that revolutionizes developers’ daily lives
Discover DeepSeek Coder V2, the AI that’s transforming the landscape of programming. From code generation and debugging to optimization, this tool enhances developers’ productivity while cutting down on mistakes. Explore its features, benefits, and limitations.
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Bayesian optimization: Definition and operation
To define a predictive model, data scientists rely on multiple observations. However, while studying these observations leads to an optimal outcome, data experts often have limited time to analyze all the hypotheses. So how do you find the right model in the least amount of time? This is where Bayesian optimization comes in. What is it? How does it work? The answers are here.
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NLP Explained: Everything to Know About Natural Language Processing in AI
Natural Language Processing (NLP) is a branch of artificial intelligence focused on the interaction between computers and humans through natural language. Discover everything about this rapidly expanding field of research!
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Business Analyst: definition, missions, training, salary
If there’s one job that has been revolutionized by the Big Data era, it’s that of Business Analyst. Exploiting data is now an integral part of the job, and mastering data analysis techniques is now often a necessity. Let’s take a closer look at this profession through its missions, skills requirements and recent developments.
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Friedman test: What is it? How to use it?
When looking to establish a comparison on a small sample, especially to showcase data like consumer preferences or the relative effectiveness of various treatments, the Friedman test emerges as the apt solution.
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