Machine Learning for Tabular Data

Author:   Mark Ryan ,  Luca Massaron
Publisher:   Manning Publications
ISBN:  

9781633438545


Pages:   504
Publication Date:   02 May 2025
Format:   Hardback
Availability:   Available To Order   Availability explained
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Machine Learning for Tabular Data


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Overview

Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques. Every organization in the world stores data in tables. Advanced Analytics for Business reveals practical techniques for applying machine learning techniques like deep learning and gradient boosting to your company's rows and columns. Inside Advanced Analytics for Business you'll learn how to:   Pick the right machine learning approach for your data Apply deep learning to tabular data Deploy tabular machine learning locally and in the cloud Pipelines to automatically train and maintain a model This book collects best practices, hard-won tips and tricks, and hands-on techniques for making sense of tabular data using advanced machine learning techniques. Inside, you'll discover how to use XGBoost and LightGBM on tabular data, optimize deep learning libraries like TensorFlow and PyTorch for tabular data, and use cloud tools like Vertex AI to create an automated MLOps pipeline.

Full Product Details

Author:   Mark Ryan ,  Luca Massaron
Publisher:   Manning Publications
Imprint:   Manning Publications
Dimensions:   Width: 18.60cm , Height: 3.00cm , Length: 23.40cm
Weight:   0.910kg
ISBN:  

9781633438545


ISBN 10:   1633438546
Pages:   504
Publication Date:   02 May 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Author Information

Mark Ryan is a technical writing manager at Google. He studied computer science at the University of Waterloo and at the University of Toronto. In addition to a keen interest in deep learning with tabular data, Mark is interested in applications of large language models. Luca Massaron is a data scientist with more than a decade of experience in transforming data into smarter artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is the author of bestselling books on AI, machine learning, and algorithms.

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