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  • Machine Learning for Streaming Data with Python

    Rapidly build practical online machine learning solutions using River and other top key frameworks

    Apply machine learning to streaming data with the help of practical examples, and deal with challenges that surround streamingKey FeaturesWork on streaming use cases that are not taught in most data science coursesGain experience with state-of-the-art tools for streaming dataMitigate various challenges while handling streaming dataBook DescriptionStreaming data is the new top technology to watch ... Leer más

    $35.99 USD o gratis con Kobo Plus

  • Advanced Forecasting with Python

    Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools

    Series series Professional and Applied Computing (R0)
    Advanced Forecasting with Python, Second Edition, is a comprehensive and practical guide to mastering modern forecasting techniques using Python. Designed for data scientists, analysts, and machine learning practitioners, this updated edition bridges the gap between classical forecasting models and cutting-edge, AI-powered techniques that are reshaping the field.The book begins with foundational ... Leer más

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  • Advanced Forecasting with Python

    With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR

    Series series Professional and Applied Computing (R0)
    Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook’s open-source Prophet model, and Amazon’s DeepAR model.Rather than focus on a specific set of models, this book presents an exhaustive overview of all ... Leer más

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  • Machine Learning on Geographical Data Using Python

    Introduction into Geodata with Applications and Use Cases

    Series series Professional and Applied Computing (R0)
    Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python.This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data ... Leer más

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  • Machine Learning with R

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    Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks

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