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data science with net and polyglot notebooks pdf
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Data Science with .NET and Polyglot Notebooks is an eBook authored by Matt Eland that serves as a comprehensive guide for programmers interested in leveraging data science techniques using the .NET framework, specifically through the use of ML.NET, OpenAI, and Semantic Kernel. This resource is particularly advantageous as it allows developers to perform data science, machine learning, and generative AI experiments within .NET Interactive notebooks, utilizing multiple programming languages such as C#, F#, and SQL, which enhances flexibility and accessibility for users with different coding backgrounds. However, there are some disadvantages to consider; for instance, the focus on .NET may limit its appeal to those who prefer other programming environments or languages, and the learning curve associated with mastering both the .NET ecosystem and the various tools discussed in the book could be steep for beginners. The eBook consists of **646 pages**, providing an in-depth exploration of its topics, and it is identified by the ISBN **9781835882962**.
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