Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning algorithms for building security systems using Python

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  • Manufacturer: Packt Publishing

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  • ReleaseDate: 2019-11-25T00:00:01Z

Cybersecurity – Attack and Defense Strategies: Counter modern threats and employ state-of-the-art tools and techniques to protect your organization against cybercriminals, 2nd Edition

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  • Manufacturer: Packt Publishing

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  • ReleaseDate: 2019-12-31T00:00:01Z

Cyber Minds: Insights on cybersecurity across the cloud, data, artificial intelligence, blockchain, and IoT to keep you cyber safe

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  • Manufacturer: Packt Publishing

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  • ReleaseDate: 2020-01-13T00:00:01Z

Hands-On Cybersecurity with Blockchain: Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain

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  • Manufacturer: Packt Publishing

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  • PartNumber: YES63624085

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  • ReleaseDate: 2018-06-28T00:00:01Z
  • NumberOfItems: 1

Fast Data Processing with Spark

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In Detail

Spark is a framework for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and inbuilt tools for interactive query analysis (Shark), large-scale graph processing and analysis (Bagel), and real-time analysis (Spark Streaming), it can be interactively used to quickly process and query big data sets.
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