Deep Learning with Structured Data | AIBH New Arrival

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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.

Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. You'll explore when and where to use deep learning, the architecture of a Keras deep learning model, training, deploying, and maintaining models, and measuring performance.

Designed for readers with intermediate Python and machine learning skills, this book provides a hands-on approach to applying deep learning techniques to structured data.

✅ Top 6 Key Features:

1. Focused on Structured Data: Specializes in applying deep learning techniques to tabular and relational datasets, common in business environments.

2. Practical Applications: Includes real-world examples, such as a dataset based on the Toronto transit system, to illustrate concepts.

3. Comprehensive Coverage: Covers data preparation, model building with Keras, training, deployment, and performance monitoring.

4. Hands-On Approach: Provides step-by-step guidance, making it accessible for readers with intermediate Python and machine learning skills.

5. Integration with Business Intelligence: Demonstrates how deep learning can enhance existing machine learning and BI systems.

6. Supplementary Resources: Purchase includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.