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If you're familiar with Apache Spark and want to learn how to implement it for streaming jobs, this practical book is a must.
By Alex Gorelik
The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations.
By Amber Case
Well-designed sounds can be exceptionally effective in conveying subtle distinctions, emotion, urgency, and information without adding visual clutter. In this practical guide, Amber Case and Aaron Day explain why sound design is critical to the success of products, environments, and experiences.
By Tony Ojeda
This practical guide shows programmers and data scientists who have an intermediate-level understanding of Python and a basic understanding of machine learning and natural language processing how to become more proficient in these two exciting areas of data science.
This benchtop reference collects hundreds of ingenious and indispensable shop tips and pearls of wisdom collected by the editors of Make: and some of the most talented and prolific makers who've contributed to the magazine and Maker Faire over the past decade.
By Alice Zheng
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features-the numeric representations of raw data-into formats for machine-learning models.