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.
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