Deep Learning with Structured Data

Mark Ryan

ISBN 10: 1617296724 / ISBN 13: 9781617296727

Verlag: Manning Publications, US, 2021

Beschreibung

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.

Bestandsnummer des Verkäufers LU-9781617296727

Bibliografische Details

• Titel: Deep Learning with Structured Data
• Verlag: Manning Publications, US
• Erscheinungsjahr: 2021
• Sprache: Englisch
• ISBN-10: 1617296724
• ISBN-13: 9781617296727
• Einband: Paperback
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Mark 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.