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Continuous Architecture in Practice

Continuous Architecture in Practice

Authors Murat Erder, Pierre Pureur, and Eoin Woods have taken their extensive software architecture experience and applied it to the practical aspects of software architecture in real-world environments. Continuous Architecture in Practice provides hands-on advice for leveraging the continuous architecture approach in real-world environments and illuminates architectures changing role in the age of Agile, DevOps, and cloud platforms. This guide will help technologists update their architecture practice for new software challenges.
 

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Quantum Computing Fundamentals

Quantum Computing Fundamentals

This one-volume introduction brings together complete coverage of basic quantum computing concepts, terminology, and issues, along with key skills to get you started. Drawing on 30+ years as a computer science instructor, consultant, and researcher, Dr. Chuck Easttom demystifies the fields underlying technical concepts and math, shows how quantum computing systems are designed and built, explains their implications for cyber security, and previews advances in quantum-resistant cryptography.
 

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Probability and Statistics for Machine Learning

Probability and Statistics for Machine Learning

Chief Data Scientist and instructor Jon Krohn provides you with a functional, hands-on understanding of probability theory and statistical modeling, with a focus on machine learning applications. This video course includes demonstrations on how to calculate standard summary metrics for describing probability distributions, as well as the standard techniques for assessing the relationships between distributions, use historical data to predict the future, what's going on beneath the hood of predictive statistical models and machine learning algorithms, and more. Watch free lessons.
 

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