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| | | | Bayesian Networks in R: with Applications in Systems Biology (Use R!)
While there have been significant advances in capturing data from the entities
across complex real-world systems, their associations and relationships are largely
unknown. Associations between the entities may reveal interesting system-level
properties that may not be apparent otherwise. Often these associations are hypothesized... |
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Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on... | | Python Data Analysis
Key Features
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Find, manipulate, and analyze your data using the Python 3.5 libraries
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Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
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An easy-to-follow guide with realistic examples that are frequently used in real-world data
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| | | | Data Structures and Algorithms Using Python and C++
THIS BOOK is intended for use in a traditional college-level data structures course (commonly known as CS2). This book assumes that students have learned the basic syntax of Python and been exposed to the use of existing classes. Most traditional CS1 courses that use Python will have covered all the necessary topics, and some may have covered a... |
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Docker Bootcamp
Fast, intensive, and effective Docker learning
About This Book
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Get well-versed with Docker in 7 days
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Identify and resolve common problems faced by users while working with Docker
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A fast-paced guide that will focus on all the core Docker functionalities
| | Kafka: The Definitive Guide: Real-time data and stream processing at scale
Learn how to take full advantage of Apache Kafka, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you’ll understand how Kafka works and how it’s designed. Authors Neha Narkhede, Gwen Shapira, and Todd Palino show you how to deploy production Kafka clusters; secure,... | | A Practical Introduction to Enterprise Network and Security Management
Computer networking and cybersecurity are challenging subjects, partly because of the constant rise and fall of related technologies and IT paradigms. As the title implies, much focus of this book is on providing the audience with practical, as well as, theoretical knowledge necessary to build a solid ground for a successful... |
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