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A solution-based guide to put your deep learning models into production with the power of Apache Spark Key Features Discover practical recipes for dist...
Shira Rubinoff's Cyber Minds brings together the top authorities in cybersecurity to discuss the emergent threats that face industries, societies, militarie...
This second edition of Mastering PostgreSQL 11 helps you build dynamic database solutions for enterprise applications using the latest release of PostgreSQL, wh...
MongoDB is the best platform for working with non-relational data and is considered to be the smartest tool for organizing data in line with business needs. The...
You already know you want to learn data visualization with Python, and a smarter way to learn is to learn by doing. The Data Visualization Workshop focuses on b...
The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0...
This is the golden age of open source NoSQL databases. With enterprises having to work with large amounts of unstructured data and moving away from expensive mo...
In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges th...
PostgreSQL is a powerful, open source database management system with an enviable reputation for high performance and stability. With many new features in its a...
Feature engineering is invaluable for developing and enriching your machine learning models. In this cookbook, you will work with the best tools to streamline y...
This book is intended for business intelligence professionals responsible for the design and development of Power BI content as well as managers, architects and...
Frank Kane’s Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by tea...