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fundamentals of data warehousing
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Database Internals - by Alex Petrov (Paperback)
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Learning Microsoft Power Bi - by Jeremey Arnold (Paperback)
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Football Analytics with Python & R - by Eric A Eager & Richard a Erickson (Paperback)
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Deep Learning for Finance - by Sofien Kaabar (Paperback)
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Reinforcement Learning for Finance - by Yves Hilpisch (Paperback)
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Natural Language Processing with Transformers, Revised Edition - by Lewis Tunstall & Leandro Von Werra & Thomas Wolf (Paperback)
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Semantic Modeling for Data - by Panos Alexopoulos (Paperback)
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Financial Data Engineering - by Tamer Khraisha (Paperback)
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Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)
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Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)
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Introducing MLOps - (Paperback)
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Data Governance with Unity Catalog on Databricks - by Kiran Sreekumar & Karthik Subbarao (Paperback)
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Data Science from Scratch - 2nd Edition by Joel Grus (Paperback)
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Learning Data Science - by Sam Lau & Joseph Gonzalez & Deborah Nolan (Paperback)
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Developing Apps with GPT-4 and ChatGPT - 2nd Edition by Olivier Caelen & Marie-Alice Blete (Paperback)
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Essential Math for AI - by Hala Nelson (Paperback)
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Applied Machine Learning and AI for Engineers - by Jeff Prosise (Paperback)
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Deep Learning for Coders with Fastai and Pytorch - by Jeremy Howard & Sylvain Gugger (Paperback)
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Generative AI on AWS - by Chris Fregly & Antje Barth & Shelbee Eigenbrode (Paperback)
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Hands-On Generative AI with Transformers and Diffusion Models - by Omar Sanseviero & Pedro Cuenca & Apolinário Passos & Jonathan Whitaker
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SQL and Relational Theory - 3rd Edition by Chris J Date (Paperback)
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Deep Learning at Scale - by Suneeta Mall (Paperback)
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Learning Spark - 2nd Edition by Jules S Damji & Brooke Wenig & Tathagata Das & Denny Lee (Paperback)
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Machine Learning with Python Cookbook - 2nd Edition by Kyle Gallatin & Chris Albon (Paperback)
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