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Abel Michael - Low - Code Ai A Practical Project - Driven Introduction To Machine Learning - Paperback Children’S & Teenage Reference Material Key Features: Focus on developing

Abel Michael - Low - Code Ai A Practical Project - Driven Introduction To Machine Learning - Paperback Children’S & Teenage Reference Material Key Features: Focus on developingBinding: Paperback Description: This hands on guide presents three problem focused ways to learn ML: no code using Auto ML low code using Big Query ML and custom code using scikit learn and Keras. You'll learn key ML concepts by using real world datasets with realistic problems. Title: Low Code Ai A Practical Project Driven Introduction To Machine Learning Author(s): Abel Michael Publisher: O'reilly Media Barcode: 9781098146825 Pages: 325 Pages

SKU: 10547354176 · From www.marsberger-treibhaus.de

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Description

Key Features: Focus on developing practical workflows for processing and integrating multiple sources of geospatial data in R Example - based approach that teaches R programming and data science concepts through real - world applications related to climate land cover and land use and natural hazards

Barcode: 9780800762834

Title: The Very Nice Box A Novel

The authors conceptual frameworks are intellectually compelling and their vignettes capture those concepts in action

Abel Michael - Low - Code Ai A Practical Project - Driven Introduction To Machine Learning - Paperback Children’S & Teenage Reference Material Key Features: Focus on developingBinding: Paperback Description: This hands on guide presents three problem focused ways to learn ML: no code using Auto ML low code using Big Query ML and custom code using scikit learn and Keras. You'll learn key ML concepts by using real world datasets with realistic problems. Title: Low Code Ai A Practical Project Driven Introduction To Machine Learning Author(s): Abel Michael Publisher: O'reilly Media Barcode: 9781098146825 Pages: 325 Pages

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