ODBIERZ TWÓJ BONUS :: »

    Hands-On Machine Learning with C# (ebook)(audiobook)(audiobook) Książka w języku angielskim

    Okładka książki/ebooka Hands-On Machine Learning with C#

    Okładka książki Hands-On Machine Learning with C#

    Okładka książki Hands-On Machine Learning with C#

    Okładka książki Hands-On Machine Learning with C#

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    264
    3w1 w pakiecie:
    PDF
    ePub
    Mobi

    Ebook

    129,00 zł

    Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

    Przenieś na półkę

    Do przechowalni

    Explore supervised and unsupervised learning techniques and add smart features to your applications

    Key Features

    • Leverage machine learning techniques to build real-world applications
    • Use the Accord.NET machine learning framework for reinforcement learning
    • Implement machine learning techniques using Accord, nuML, and Encog

    Book Description

    The necessity for machine learning is everywhere, and most production enterprise applications are written in C# using tools such as Visual Studio, SQL Server, and Microsoft Azur2e. Hands-On Machine Learning with C# uniquely blends together an understanding of various machine learning concepts, techniques of machine learning, and various available machine learning tools through which users can add intelligent features.These tools include image and motion detection, Bayes intuition, and deep learning, to C# .NET applications.

    Using this book, you will learn to implement supervised and unsupervised learning algorithms and will be better equipped to create excellent predictive models. In addition, you will learn both supervised and unsupervised forms of regression, mainly logistic and linear regression, in depth. Next, you will use the nuML machine learning framework to learn how to create a simple decision tree. In the concluding chapters, you will use the Accord.Net machine learning framework to learn sequence recognition of handwritten numbers using dynamic time warping. We will also cover advanced concepts such as artificial neural networks, autoencoders, and reinforcement learning.

    By the end of this book, you will have developed a machine learning mindset and will be able to leverage C# tools, techniques, and packages to build smart, predictive, and real-world business applications.

    What you will learn

    • Learn to parameterize a probabilistic problem
    • Use Naive Bayes to visually plot and analyze data
    • Plot a text-based representation of a decision tree using nuML
    • Use the Accord.NET machine learning framework for associative rule-based learning
    • Develop machine learning algorithms utilizing fuzzy logic
    • Explore support vector machines for image recognition
    • Understand dynamic time warping for sequence recognition

    Who this book is for

    Hands-On Machine Learning with C#is forC# .NETdevelopers who work on a range of platforms from .NET and Windows to mobile devices. Basic knowledge of statistics is required.

    O autorze

    Matt R. Cole od 30 lat programuje dla systemu Windows — biegle posługuje się językami: C, C++, C# oraz platformą .NET. Napisał system generowania mowy oraz system VOIP dla NASA, którego używano na promach kosmicznych i stacji kosmicznej. Przygotował pierwszy framework mikrousług klasy enterprise (napisany w całości w C# i .NET), wykorzystywany przez jeden z głównych funduszy hedgingowych. Napisał też framework sztucznej inteligencji, w którym zintegrowane zostały neurony lustrzane i kanoniczne.

    Zamknij

    Wybierz metodę płatności