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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking -- Foster Provost - Paperback
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems -- Martin Kleppmann - Paperback
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications -- Chip Huyen - Paperback
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems -- Joe Reis - Paperback
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Getting to Know Arcgis Pro 2.8 -- Michael Law - Paperback
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GIS Tutorial for Arcgis Pro 2.8 -- Wilpen L. Gorr - Paperback
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Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems -- Aurélien Géron - Paperback
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How Data Happened: A History from the Age of Reason to the Age of Algorithms -- Chris Wiggins - Hardcover
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Power and Prediction: The Disruptive Economics of Artificial Intelligence -- Ajay Agrawal - Hardcover
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Practical Charts: The Essential Guide to Creating Clear, Compelling Charts for Reports and Presentations -- Nicholas P. Desbarats - Paperback
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python -- Peter Bruce - Paperback
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Teach Yourself Visually Power Bi -- Alexander Loth - Paperback
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The Art of Statistics: How to Learn from Data -- David Spiegelhalter - Paperback
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The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI -- Paul Leonardi - Hardcover
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The Year in Tech, 2023: The Insights You Need from Harvard Business Review -- Harvard Business Review - Paperback
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You Are Not Expected to Understand This: How 26 Lines of Code Changed the World -- Torie Bosch - Paperback
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You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place -- Janelle Shane - Paperback