Deep Learning with Structured Data
Language: English
Published by Manning Publications Dez 2020, 2020
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 60.05
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Add to basketItem description from seller
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.…
Seller Inventory # 9781617296727
- Title
- Deep Learning with Structured Data
- Author
- Mark Ryan
- Publisher
- Manning Publications Dez 2020
- Publication year
- 2020
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1617296724
- ISBN 13
- 9781617296727
- Item weight
- 440 grams
- Dimensions
- 231x185x18 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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