Deep learning structured data de ryan mark (15 resultados)

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Paperback. Condición: New. Most businesses are far more interested in accurate forecasting and fraud detection using their existing structured datasets than identifying cats in YouTube videos. Powerful deep learning techniques can efficiently extract insight from the kind of structured data collected by most businesses and organisations.   Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts.   Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems.   .   The benefits and drawbacks of deep learning .   Organizing data for your deep learning model .   The deep learning stack .   Measuring performance of your models   For readers with an intermediate knowledge of Python, Jupyter notebooks, and machine learning.…

Paperback. Condición: new. Paperback. Most businesses are far more interested in accurate forecasting and fraud detection using their existing structured datasets than identifying cats in YouTube videos. Powerful deep learning techniques can efficiently extract insight from the kind of structured data collected by most businesses and organisations. Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. The benefits and drawbacks of deep learning Organizing data for your deep learning model The deep learning stack Measuring performance of your models For readers with an intermediate knowledge of Python, Jupyter notebooks, and machine learning. "For readers with intermediate Python and machine learning skills"--Back cover. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condición: New. Most businesses are far more interested in accurate forecasting and fraud detection using their existing structured datasets than identifying cats in YouTube videos. Powerful deep learning techniques can efficiently extract insight from the kind of structured data collected by most businesses and organisations.   Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts.   Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems.   .   The benefits and drawbacks of deep learning .   Organizing data for your deep learning model .   The deep learning stack .   Measuring performance of your models   For readers with an intermediate knowledge of Python, Jupyter notebooks, and machine learning.…

Taschenbuch. Condición: Neu. Neuware - Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases.SummaryDeep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems.About the technologyHere's a dirty secret: Half of the time in most data science projects is spent cleaning and preparing data. But there's a better way: Deep learning techniques optimized for tabular data and relational databases deliver insights and analysis without requiring intense feature engineering. Learn the skills to unlock deep learning performance with much less data filtering, validating, and scrubbing.About the bookDeep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Get started using a dataset based on the Toronto transit system. As you work through the book, you'll learn how easy it is to set up tabular data for deep learning, while solving crucial production concerns like deployment and performance monitoring.What's insideWhen and where to use deep learningThe architecture of a Keras deep learning modelTraining, deploying, and maintaining modelsMeasuring performanceAbout the readerFor readers with intermediate Python and machine learning skills.About the authorMark Ryan is a Data Science Manager at Intact Insurance. He holds a Master's degree in Computer Science from the University of Toronto.Table of Contents1 Why deep learning with structured data 2 Introduction to the example problem and Pandas dataframes3 Preparing the data, part 1: Exploring and cleansing the data4 Preparing the data, part 2: Transforming the data5 Preparing and building the model6 Training the model and running experiments7 More experiments with the trained model8 Deploying the model9 Recommended next steps.…

Kartoniert / Broschiert. Condición: New. &Uumlber den AutorMark Ryan has 20 years of experience leading teams delivering IBM s premier relational database product. He holds a Master s degree in Computer Science from the University of Toronto.Klappentext.

Paperback. Condición: new. Paperback. Most businesses are far more interested in accurate forecasting and fraud detection using their existing structured datasets than identifying cats in YouTube videos. Powerful deep learning techniques can efficiently extract insight from the kind of structured data collected by most businesses and organisations. Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. The benefits and drawbacks of deep learning Organizing data for your deep learning model The deep learning stack Measuring performance of your models For readers with an intermediate knowledge of Python, Jupyter notebooks, and machine learning. "For readers with intermediate Python and machine learning skills"--Back cover. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…