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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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Symbolic AI: What is it?
The history of artificial intelligence can be divided into two major phases. One of these is symbolic AI. What does this mysterious term encompass? What are the strengths and limitations of this approach?
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TinyML: Pioneering AI in Compact Devices
As artificial intelligence (AI) becomes ever more woven into our daily routines, Tiny Machine Learning (TinyML) is carving out a new domain. This innovation empowers us to run AI on small, energy-efficient devices, unlocking a host of novel possibilities.
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Data Lake: Definition and use
A data lake is a platform for storing and analyzing data, with no constraints on type or structure. Find out all you need to know about this indispensable tool for Data Scientists: definition, operation, use cases, training…
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Naive Bayes Classifier: Theory and Application
The Naive Bayes classifier is a classification technique based on Bayes’ theorem, with the naïve assumption of independence among predictors. Despite its simplicity, the Naive Bayes classifier has demonstrated its effectiveness in various application areas, including spam filtering, sentiment analysis, and document classification.
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Unveiling the Secrets of the VGG Model: A Deep Dive with Daniel
Daniel is back, the iconic face of our training courses who guides our learners through to their diploma. Today he’s going to introduce you to a model frequently used in Computer Vision: VGG.
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Prompt Engineering: What is it about?
Artificial intelligence is a fundamental part of our daily lives and its influence continues to grow. The global AI market is projected to expand by 37% annually until 2030. Therefore, it is crucial to harness this technology effectively through fields such as Prompt Engineering.
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Anthropic: Redefining Artificial Intelligence with Ethics at its Core
Founded by former OpenAI executives and strongly backed by Amazon, Anthropic has developed an AI named Claude. It seeks to set itself apart from ChatGPT or Gemini in unexpected areas.
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ONNX: Towards standardized interoperability of artificial intelligence
As AI projects grow increasingly intricate, the necessity to transfer and execute models across varied environments has become crucial. The current landscape is filled with a multitude of development frameworks, each with its own characteristics and proprietary formats. Within this setting, ONNX (Open Neural Network Exchange) emerges as a standardized and open-source solution to ensure interoperability between these different environments.
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Mixture of Experts (MoE): The approach that could shape the future of AI
Artificial intelligence is advancing rapidly, with large-scale models like ChatGPT and Gemini demanding robust infrastructures to handle billions of parameters. In response to these growing computational demands, an innovative concept is emerging: the Mixture of Experts (MoE). This model distributes tasks among several specialized experts, thereby optimizing computational power and enhancing performance. In this article, we delve into the workings of MoE, its advantages, real-world applications, and the challenges it faces.
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Lead Data Scientist: What you need to know about the job
If you’re looking for information about the job of Lead Data Scientist, this article will be of great help. Indeed, it outlines the main duties, tasks, and responsibilities that make up the core day-to-day activities of most Lead Data Scientists.
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How to become a Data Analyst? Training, job, salary
In a world dominated by data, the role of a Data Analyst attracts more and more aspiring individuals in search of a promising career. If data analysis is your passion, this article will introduce you to the necessary training, required skills, potential salaries, and other useful information to become a Data Analyst.
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