Machine Learning for Tabular Data XGBoost, Deep Learning, and AI

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Free Download Mark Ryan, "Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI"
English | ISBN: 1633438546 | 2025 | 504 pages | AZW3 | 38 MB
Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques.

Machine Learning for Tabular Data teaches you to train insightful machine learning models on common tabular business data sources such as spreadsheets, databases, and logs. 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.
Machine Learning for Tabular Data will teach you 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
  

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