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Learning Github Copilot - by Brent Laster (Paperback)
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Hands-On Rag for Production - by Ofer Mendelevitch & Forrest Sheng Bao (Paperback)
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Implementing MLOps in the Enterprise - by Yaron Haviv & Noah Gift (Paperback)
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Duckdb: Up and Running - by Wei-Meng Lee (Paperback)
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Stream Processing with Apache Flink - by Fabian Hueske & Vasiliki Kalavri (Paperback)
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View Updating and Relational Theory - by Chris J Date (Paperback)
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Amazon Redshift: The Definitive Guide - by Rajesh Francis & Rajiv Gupta & Milind Oke (Paperback)
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Probabilistic Machine Learning for Finance and Investing - by Deepak K Kanungo (Paperback)
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Learning AI Tools in Tableau - by Ann Jackson (Paperback)
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Effective Machine Learning Teams - by David Tan & Ada Leung & David Colls (Paperback)
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Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)
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Mastering Azure Analytics - by Zoiner Tejada (Paperback)
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Delta Lake: Up and Running - by Bennie Haelen & Dan Davis (Paperback)
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Grandes Modelos de Lenguaje: Una Guía Práctica (Spanish Edition) - by Jay Alammar & Maarten Grootendorst (Paperback)
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Statistical Tableau - by Ethan Lang (Paperback)
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Apache Polaris: The Definitive Guide - by Alex Merced & Andrew Madson & Tomer Shiran (Paperback)
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Apache Hudi: The Definitive Guide - by Shiyan Xu & Prashant Wason & Bhavani Sudha Saktheeswaran & Rebecca Bilbro (Paperback)
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Scaling Machine Learning with Spark - by Adi Polak (Paperback)
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Alteryx Designer: The Definitive Guide - by Joshua Burkhow (Paperback)
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Designing Large Language Model Applications - by Suhas Pai (Paperback)
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Ducklake: The Definitive Guide - by Matt Martin & Alex Monahan (Paperback)
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Feature Engineering for Machine Learning - by Alice Zheng & Amanda Casari (Paperback)
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Project Management for European, Asian and African Practitioners--Theory and Technique Examples in Selected Professions - (Hardcover)
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