January 2021
Intermediate to advanced
264 pages
7h 43m
English
Overview
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.
About the Technology
Here’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 Book
Deep 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 Inside
About the Reader
For readers with intermediate Python and machine learning skills.
About the Author
Mark Ryan is a Data Science Manager at Intact Insurance. He holds a Master's degree in Computer Science from the University of Toronto.
Quotes
Highly recommended for both learners and practitioners interested in applying deep learning to tabular datasets and building a full-stack data product powered by deep learning.
- Ikechukwu Okonkwo, Solid State AI
An excellent blend of theory and practice on deep learning with structured data.
- Dr. Irfan Ullah, Shaheed Benazir Bhutto University
An amazing book! It teaches you not only the fundamentals of deep learning, but also how to deal with messy data.
- Nicole Koenigstein, Refline AG
A great book that takes you from raw tabular data to a fully deployed deep learning service.
- Gary Bake, Chep
About the Technology
Here’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 Book
Deep 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 Inside
- When and where to use deep learning
- The architecture of a Keras deep learning model
- Training, deploying, and maintaining models
- Measuring performance
About the Reader
For readers with intermediate Python and machine learning skills.
About the Author
Mark Ryan is a Data Science Manager at Intact Insurance. He holds a Master's degree in Computer Science from the University of Toronto.
Quotes
Highly recommended for both learners and practitioners interested in applying deep learning to tabular datasets and building a full-stack data product powered by deep learning.
- Ikechukwu Okonkwo, Solid State AI
An excellent blend of theory and practice on deep learning with structured data.
- Dr. Irfan Ullah, Shaheed Benazir Bhutto University
An amazing book! It teaches you not only the fundamentals of deep learning, but also how to deal with messy data.
- Nicole Koenigstein, Refline AG
A great book that takes you from raw tabular data to a fully deployed deep learning service.
- Gary Bake, Chep
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