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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In this article, we put the naive Bayes algorithm into practice by defining the relevant features that we will retain.
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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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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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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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Starting today, we are commencing a series of articles on modeling data in document-oriented databases with a progressive approach and a particular focus on Azure CosmosDB. Our goal is to blend theoretical concepts with practical implementation, offering clear illustrations of the associated challenges.
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In this article, we will begin with a relational perspective to design an ecommerce application and gradually transition to a document-oriented approach.
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In this article, we initiate the transition from a relational schema to a document-oriented one (Azure Cosmos DB). In this context, we delve into the theoretical concepts, postponing the discussion of practical implementation details to the subsequent post.
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In this concluding article, we put into action the principles and techniques we discussed earlier within the context of our illustrative ecommerce example.
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In this article, we will implement what we theoretically mentioned in the last post and code the tf-idf algorithm (here in C# but the programming language can be easily adpated).
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