Soma Halder's Books

Hands-On Machine Learning for Cybersecurity

Safeguard your system by making your machines intelligent using the Python ecosystem

By: Soma Halder,Sinan Ozdemir

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Hands-On Machine Learning for Cybersecurity

Safeguard your system by making your machines intelligent using the Python ecosystem

By: Soma Halder,Sinan Ozdemir

Get into the world of smart data security using machine learning algorithms and Python libraries Key FeaturesLearn machine learning algorithms and cybersecurity fundamentalsAutomate your daily workflow by applying use cases to many facets of securityImplement smart machine learning solutions to detect various cybersecurity problemsBook Description Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not. Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems What you will learnUse machine learning algorithms with complex datasets to implement cybersecurity conceptsImplement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problemsLearn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDAUnderstand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimesUse TensorFlow in the cybersecurity domain and implement real-world examplesLearn how machine learning and Python can be used in complex cyber issuesWho this book is for This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book

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Page Count

306

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

178899096X

ISBN 13

9781788990967

Theory of Graded Consequence

A General Framework for Logics of Uncertainty

By: Mihir Kumar Chakraborty,Soma Dutta

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Theory of Graded Consequence

A General Framework for Logics of Uncertainty

By: Mihir Kumar Chakraborty,Soma Dutta

This book introduces the theory of graded consequence (GCT) and its mathematical formulation. It also compares the notion of graded consequence with other notions of consequence in fuzzy logics, and discusses possible applications of the theory in approximate reasoning and decision-support systems. One of the main points where this book emphasizes on is that GCT maintains the distinction between the three different levels of languages of a logic, namely object language, metalanguage and metametalanguage, and thus avoids the problem of violation of the principle of use and mention; it also shows, gathering evidences from existing fuzzy logics, that the problem of category mistake may arise as a result of not maintaining distinction between levels.

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Page Count

235

Publisher

Springer

Published Date

ISBN 10

9811388962

ISBN 13

9789811388965

Revolutionary Democracy

Emancipation in Classical Marxism

By: Soma Marik

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Revolutionary Democracy

Emancipation in Classical Marxism

By: Soma Marik

In this wide-ranging and insightful work, Soma Marik defends the legacy of the Bolshevik Revolution, arguing against many of its detractors that the early communist regime was centrally concerned with both the liberation of women and the expansion of democracy. Soma Marik teaches Women's Studies and History at Jadavpur University.

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Page Count

581

Publisher

Haymarket Books

Published Date

ISBN 10

1608467309

ISBN 13

9781608467303

Hands-On Machine Learning for Cybersecurity

Safeguard your system by making your machines intelligent using the Python ecosystem

By: Soma Halder,Sinan Ozdemir

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Hands-On Machine Learning for Cybersecurity

Safeguard your system by making your machines intelligent using the Python ecosystem

By: Soma Halder,Sinan Ozdemir

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

306

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

178899096X

ISBN 13

9781788990967

Book's by Soma Halder

Hands-On Machine Learning for Cybersecurity

Hands-On Machine Learning for Cybersecurity

Theory of Graded Consequence

Theory of Graded Consequence

Revolutionary Democracy

Revolutionary Democracy

Hands-On Machine Learning for Cybersecurity

Hands-On Machine Learning for Cybersecurity

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