
Machine Learning for Tabular Data
Xgboost, Deep Learning, and AI
Manning Publications (Publisher)
Published on 2. May 2025
Book
Paperback/Softback
504 pages
978-1-63343-854-5 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
Illustrations
Dimensions
Height: 233 mm
Width: 186 mm
Thickness: 29 mm
Weight
870 gr
ISBN-13
978-1-63343-854-5 (9781633438545)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Mark Ryan | Luca Massaron
Machine Learning for Tabular Data
E-Book
03/2025
1st Edition
Simon + Schuster LLC
€58.34
Available for download
Persons
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.
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.