machine learning

Implementing decision trees with the C4.5 algorithm - Part 5
Dec 14, 2023 · 7 min read ·
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In this final article, we demonstrate how to implement a basic version of the C4.5 algorithm in C#.
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Leveraging Selenium, NUnit and C# for UI tests - Part 1
Dec 12, 2023 · 2 min read ·
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Starting today, we initiate a series of articles dedicated to conducting UI tests with Selenium and C#. Our aim is to provide an introduction to this often overlooked topic and demonstrate how it can save a considerable amount of time when executed correctly.
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Leveraging Selenium, NUnit and C# for UI tests - Part 2
Dec 12, 2023 · 8 min read ·
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In this article, we establish Selenium with Visual Studio and C# and provide some practical examples.
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Leveraging Selenium, NUnit and C# for UI tests - Part 3
Dec 12, 2023 · 3 min read ·
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In this article, we demonstrate how to effortlessly obtain the C# code for testing a specific UI, thereby avoiding the cumbersome exploration of the DOM.
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Understanding the naïve Bayes algorithm with its implementation in C# - Part 4
Dec 7, 2023 · 7 min read ·
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In this article, we put the naive Bayes algorithm into practice by defining the relevant features that we will retain.
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Understanding the naïve Bayes algorithm with its implementation in C# - Part 3
Dec 7, 2023 · 6 min read ·
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In this article, we elucidate how the detection of a document's language can be accomplished using the naive Bayes algorithm.
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Understanding the naïve Bayes algorithm with its implementation in C# - Part 2
Dec 7, 2023 · 7 min read ·
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In this article, we aim to provide a concise presentation of probability theory and introduce key concepts such as independence and conditional independence.
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Understanding the naïve Bayes algorithm with its implementation in C# - Part 1
Dec 7, 2023 · 2 min read ·
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Beginning today, we embark on a series of articles focusing on the construction of a naive Bayes classifier in C# with an application to language detection. Our objective is to seamlessly integrate theoretical concepts with practical implementation, providing illustrations of the challenges involved.
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