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Developer Reference eBook Series

Showing 1 - 12 of 12 results
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  • Clean Architecture with .NET

    by Dino Esposito ...
    Series series 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 ... Read more

    RM 151.69

  • Programming ML.NET

    by Dino Esposito, Francesco Esposito ...
    Series series 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 ... Read more

    RM 169.39

  • Programming ASP.NET Core

    by Dino Esposito ...
    Series series 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 ... Read more

    RM 169.39

  • Introducing Machine Learning

    by Dino Esposito, Francesco Esposito ...
    Series series 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 ... Read more

    RM 107.29

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  • Machine Learning Design Patterns

    by Valliappa Lakshmanan, Sara Robinson, Michael Munn ...
    The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed ... Read more

    RM 160.89

  • 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.

    by Brett Lantz ...
    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 ... Read more

    RM 137.59 or Free with Kobo Plus

  • Machine Learning with R

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

    by Brett Lantz ...
    Key FeaturesBook DescriptionUpdated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with ... Read more

    RM 162.29 or Free with Kobo Plus

  • Machine Learning with R

    Expert techniques for predictive modeling

    by Brett Lantz ...
    Solve real-world data problems with R and machine learningKey FeaturesThird edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyondHarness the power of R to build flexible, effective, and transparent machine learning modelsLearn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett LantzBook ... Read more

    RM 296.39 or Free with Kobo Plus

  • Python Machine Learning By Example

    The easiest way to get into machine learning

    by Yuxi (Hayden) Liu, Ivan Idris ...
    Take tiny steps to enter the big world of data science through this interesting guideKey Features\[\*\] Learn the fundamentals of machine learning and build your own intelligent applications\[\*\] Master the art of building your own machine learning systems with this example-based practical guide\[\*\] Work with important classification and regression algorithms and other machine learning ... Read more

    RM 162.29 or Free with Kobo Plus

  • Python: Advanced Predictive Analytics

    Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

    by Ashish Kumar, Joseph Babcock ...
    Gain practical insights by exploiting data in your business to build advanced predictive modeling applicationsKey FeaturesA step-by-step guide to predictive modeling including lots of tips, tricks, and best practicesLearn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and ClusteringMaster open source Python tools to build ... Read more

    RM 282.29 or Free with Kobo Plus

  • Deep Learning with R for Beginners

    Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

    by Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden) Liu, Pablo Maldonado ...
    Explore the world of neural networks by building powerful deep learning models using the R ecosystemKey FeaturesGet to grips with the fundamentals of deep learning and neural networksUse R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processingImplement effective deep learning systems in R with the help of end-to-end projectsBook DescriptionDeep ... Read more

    RM 123.49 or Free with Kobo Plus

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

    Data Analysis, Machine Learning, and Neural Networks simplified

    by Richard M. Reese, Bostjan Kaluza, Dr. Uday Kamath, Jennifer L. Reese, Krishna Choppella ...
    Develop, Implement and Tuneup your Machine Learning applications using the power of Java programmingAbout This BookDetailed coverage on key machine learning topics with an emphasis on both theoretical and practical aspectsAddress predictive modeling problems using the most popular machine learning Java librariesA comprehensive course covering a wide spectrum of topics such as machine learning and ... Read more

    RM 268.19 or Free with Kobo Plus