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Machine Learning Interviews - by Susan Shu Chang (Paperback)
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How to Make Things Faster - by Cary Millsap (Paperback)
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Explainable AI for Practitioners - by Michael Munn & David Pitman (Paperback)
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Reinforcement Learning for Finance - by Yves Hilpisch (Paperback)
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Colorwise - by Kate Strachnyi (Paperback)
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Building Machine Learning Systems with a Feature Store - by Jim Dowling (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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Developing Apps with GPT-4 and ChatGPT - 2nd Edition by Olivier Caelen & Marie-Alice Blete (Paperback)
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Mastering Shiny - by Hadley Wickham (Paperback)
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The Developer's Playbook for Large Language Model Security - by Steve Wilson (Paperback)
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SQL and Relational Theory - 3rd Edition by Chris J Date (Paperback)
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Apache Polaris: The Definitive Guide - by Alex Merced & Andrew Madson & Tomer Shiran (Paperback)
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Programming Pytorch for Deep Learning - by Ian Pointer (Paperback)
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Deep Learning for Biology - by Charles Ravarani & Natasha Latysheva (Paperback)
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Practical Lakehouse Architecture - by Gaurav Ashok Thalpati (Paperback)
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Machine Learning Production Systems - by Robert Crowe & Hannes Hapke & Emily Caveness & Di Zhu (Paperback)
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Amazon Redshift: The Definitive Guide - by Rajesh Francis & Rajiv Gupta & Milind Oke (Paperback)
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Graph-Powered Analytics and Machine Learning with Tigergraph - by Victor Lee Ph D & Phuc Kien Nguyen & Alexander Thomas (Paperback)
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Hands-On Differential Privacy - by Ethan Cowan & Michael Shoemate & Mayana Pereira (Paperback)
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Blueprints for Text Analytics Using Python - by Jens Albrecht & Sidharth Ramachandran & Christian Winkler (Paperback)
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Alteryx Designer: The Definitive Guide - by Joshua Burkhow (Paperback)
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Probabilistic Machine Learning for Finance and Investing - by Deepak K Kanungo (Paperback)
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Implementing MLOps in the Enterprise - by Yaron Haviv & Noah Gift (Paperback)
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Practical Weak Supervision - by Wee Hyong Tok & Amit Bahree & Senja Filipi (Paperback)
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