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  • Clean Architecture with .NET

    af Dino Esposito ...
    Serier serie Developer Reference
    Understand what to do at any point in developing a clean .NET architectureMaster advanced .NET techniques with a focus on actual value delivered by working within a modular, clean architecture. Microsoft Data Platform MVP Dino Esposito explains key clean architecture concepts with a mix of pragmatism and design discipline and helps you solidify your knowledge through a real-world project. Starting ... Læs mere

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  • Programming ML.NET

    Serier serie Developer Reference
    The expert guide to creating production machine learning solutions with ML.NET!ML.NET brings the power of machine learning to all .NET developers— and Programming ML.NET helps you apply it in real production solutions. Modeled on Dino Esposito's best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsoft's team used to build ML.NET itself. After a foundational ... Læs mere

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  • Introducing Machine Learning

    Serier serie Developer Reference
    Master machine learning concepts and develop real-world solutionsMachine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft’s powerful ML ... Læs mere

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  • Programming ASP.NET Core

    af Dino Esposito ...
    Serier serie Developer Reference
    The complete, pragmatic guide to building high-value solutions with ASP.NET CoreProgramming ASP.NET Core is the definitive guide to practical web-based application development with Microsoft’s new ASP.NET Core framework. Microsoft MVP Dino Esposito introduces proven techniques and well-crafted example code for solving real problems with ASP.NET Core. Step by step, he guides you through using all ... Læs mere

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  • Machine Learning with R

    R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning.

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    Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science ... Læs mere

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  • Machine Learning with R

    Expert techniques for predictive modeling to solve all your data analysis problems

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  • Deep Learning with R for Beginners

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  • Machine Learning: End-to-End guide for Java developers

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