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Data Mining and Machine Learning in Cybersecurity

unified reference for specific machine learning solutions to cybersecurity problems. It supplies a foundation in cybersecurity fundamentals and;

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Hands-On Machine Learning for Cybersecurity

learning solutions to detect various cybersecurity problems Book DescriptionCyber threats today are one of the costliest losses that an;

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Hands-On Artificial Intelligence for Cybersecurity

of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that;

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Science of Cyber Security

. These papers cover the following subjects: Artificial Intelligence for Cybersecurity, Machine Learning for Cybersecurity, and Mechanisms for;

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Machine Learning

Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers;

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Hands-On Machine Learning with R

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular;

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Machine Intelligence and Big Data Analytics for Cybersecurity Applications

latest advances on machine intelligence and big data analytics for cybersecurity applications.;

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Machine Learning

Dig deep into the data with a hands-on guide to machine learningMachine Learning: Hands-On for Developers and Technical;

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Practical Machine Learning with Python

finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help;

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Machine Learning for Cybersecurity Cookbook

features for malware, which you'll train and test on real samples. As you progress, you'll build self-learning, reliant systems to handle;

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Machine Learning and Big Data

of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and;

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Machine Learning and Knowledge Discovery in Databases

Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data;

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Quantum Machine Learning: An Applied Approach

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine;

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Hands-on Machine Learning with Python

Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It;

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Process Operational Safety and Cybersecurity

This book is focused on the development of rigorous, yet practical, methods for the design of advanced process control systems to improve;

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Hands-on Machine Learning with Python

Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It;

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Reinforcement Learning for Cyber-Physical Systems

Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields;

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Reinforcement Learning for Cyber-Physical Systems

Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields;

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Hands-On Data Science and Python Machine Learning

will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis;

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Machine Learning Applications Using Python

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;

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Machine Learning and Knowledge Discovery in Databases: International Workshops of Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceeding

Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data;

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ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020)

and Federated Learning, PDFL 2020; Second Workshop on Machine Learning for Cybersecurity, MLCS 2020, 9th International Workshop on New;

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Python Machine Learning Case Studies

hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines;

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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

is a versatile library that is popular among machine learning practitioners. This book serves as a practical guide for anyone looking to;

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Thoughtful Machine Learning

can't account for human errors in coding. Rather than blindly rely on machine-learning results as many researchers have, you can mitigate the;

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Practical Machine Learning in R

Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming;

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Hands-On Deep Learning for Images with TensorFlow

Explore TensorFlow's capabilities to perform efficient deep learning on images Key Features Discover image processing for machine vision;

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