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This practical guide provides recipes to help you unravel common problems and perform useful tasks when working with Go. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work.
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Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. This concise book provides a clear introduction to using statistical models to analyze football data.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Many organizations today analyze and share large, sensitive datasets about individuals. Whether these datasets cover healthcare details, financial records, or exam scores,... Læs mere
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Do you wish the existing books on site reliability engineering started at the beginning? Do you wish someone would walk you through how to become an SRE, how to think like an SRE, or how to... Læs mere
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In the modern symphony of business, each section-from the technical to the managerial-must play in harmony. Authors Ron Itelman and Juan Cruz Viotti introduce a bold... Læs mere
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With this practical guide, you'll learn how CNAPPs can help you consolidate security through DevSecOps across cloud native technologies, practices, and application lifecycles.
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Decentralized finance (DeFi) is a rapidly growing field in fintech, having grown from $700 million to $100 billion over the past three years alone. But the lack of reliable... Læs mere
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Filled with tips, tricks, and techniques, this easy-to-use book is the perfect resource for intermediate to advanced users of Excel. You'll find complete recipes for more than a dozen topics covering formulas, PivotTables, charts, Power Query, and more.
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In this book, author Matheus Facure explains the untapped potential of causal inference for estimating impacts and effects.
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Great engineers don't necessarily make great leaders—at least, not without a lot of work. It's not easy to figure out how to be strategic, successful, and considerate while also... Læs mere
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This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create, trade, and back-test trading algorithms based on machine learning and reinforcement learning.