BOOKS - 10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect you...
10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect your systems and boost your defenses with cutting-edge AI techniques - Rajvardhan Oak May 31, 2023 PDF  BOOKS
ECO~20 kg CO²

3 TON

Views
93838

Telegram
 
10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect your systems and boost your defenses with cutting-edge AI techniques
Author: Rajvardhan Oak
Year: May 31, 2023
Format: PDF
File size: PDF 8.9 MB
Language: English



Pay with Telegram STARS
Book Description: 10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect Your Systems and Boost Your Defenses with Cutting-Edge AI Techniques Rajvardhan Oak May 31, 2023 Format: Print/Kindle/PDF Genre: Computer Science, Artificial Intelligence, Cybersecurity Synopsis: In today's digital age, cybersecurity has become a critical aspect of our lives, and machine learning has proven to be a powerful tool in protecting our systems and data from ever-evolving threats. This book, "10 Machine Learning Blueprints You Should Know for Cybersecurity is designed to provide readers with practical projects and blueprints for applying cutting-edge AI techniques to enhance their cybersecurity defenses. With a focus on realworld applications, this guide will help you understand how advanced machine learning algorithms work and apply them to securityspecific problems using open source datasets or creating your own. The book begins by explaining the basics of machine learning and its application in the cybersecurity space, highlighting the challenges that make it unique compared to other domains.
10 концептуальных проектов машинного обучения, которые вы должны знать для кибербезопасности: Защитите свои системы и повысьте уровень защиты с помощью передовых технологий искусственного интеллекта Rajvardhan Oak 31 мая 2023 года Формат: Распечатать/Kindle/PDF Жанр: информатика, искусственный интеллект, кибербезопасность Краткий обзор: В современную цифровую эпоху кибербезопасность стала важнейшим аспектом нашей жизни, а машинное обучение оказалось мощным инструментом защиты наших систем и данных от постоянно развивающихся угроз. Эта книга «10 чертежей машинного обучения, которые вы должны знать для кибербезопасности» предназначена для того, чтобы предоставить читателям практические проекты и чертежи для применения передовых методов искусственного интеллекта для повышения их защиты в области кибербезопасности. Ориентируясь на приложения realworld, это руководство поможет понять, как работают продвинутые алгоритмы машинного обучения, и применить их к специфическим для безопасности проблемам, используя наборы данных с открытым исходным кодом или создавая свои собственные. Книга начинается с объяснения основ машинного обучения и его применения в пространстве кибербезопасности, подчеркивая проблемы, которые делают его уникальным по сравнению с другими доменами.
10 proyectos conceptuales de aprendizaje automático que debe conocer para la ciberseguridad: Proteja sus sistemas y aumente su nivel de protección con la avanzada tecnología de inteligencia artificial Rajvardhan Oak 31 de mayo de 2023 Formato: Imprimir/Kindle/PDF Género: informática, inteligencia artificial, ciberseguridad Resumen: En la era digital actual, la ciberseguridad se ha convertido en un aspecto crucial de nuestras vidas, y el aprendizaje automático ha demostrado ser una herramienta poderosa para proteger nuestros sistemas y datos de amenazas en constante evolución. Este libro de «10 dibujos de aprendizaje automático que debes conocer para la ciberseguridad» está diseñado para proporcionar a los lectores proyectos prácticos y dibujos para aplicar técnicas avanzadas de inteligencia artificial para aumentar su protección en el campo de la ciberseguridad. Centrándose en las aplicaciones de realworld, esta guía ayudará a entender cómo funcionan los algoritmos avanzados de aprendizaje automático y aplicarlos a problemas específicos de seguridad mediante el uso de conjuntos de datos de código abierto o la creación de los suyos propios. libro comienza explicando los fundamentos del aprendizaje automático y su aplicación en el espacio de ciberseguridad, destacando los problemas que lo hacen único en comparación con otros dominios.
10 progetti concettuali di apprendimento automatico che si dovrebbe conoscere per la sicurezza informatica: Proteggi i sistemi e migliora la protezione con le tecnologie avanzate di intelligenza artificiale Rajvardhan Oak 31 maggio 2023 Formato: Stampa/Kindle/PDF Genere: informatica, intelligenza artificiale, sicurezza informatica Breve panoramica: Nell'era digitale moderna, la sicurezza informatica è diventata un aspetto fondamentale della nostra vita e l'apprendimento automatico è stato un potente strumento per proteggere i nostri sistemi e i nostri dati dalle minacce in continua evoluzione. Questo libro «10 disegni di apprendimento automatico che devi conoscere per la sicurezza informatica» è progettato per fornire ai lettori progetti e progetti pratici per l'applicazione di best practice di intelligenza artificiale per migliorare la loro protezione nel campo della sicurezza informatica. Focalizzandosi sulle applicazioni realworld, questo manuale consente di comprendere come funzionano gli algoritmi avanzati di apprendimento automatico e di applicarli a problemi specifici di sicurezza utilizzando dataset open source o creando i propri dati. Il libro inizia spiegando le basi dell'apprendimento automatico e la sua applicazione nello spazio di sicurezza informatica, sottolineando i problemi che lo rendono unico rispetto ad altri domini.
''
10の機械学習の概念設計あなたがサイバーセキュリティのために知る必要がある: 20235月31日のRajvardhan Oakの高度な人工知能技術により、システムを保護し、セキュリティを向上させます。フォーマット: 印刷/Kindle/PDFジャンル:コンピュータサイエンス、人工知能、サイバーセキュリティ: 現代のデジタル時代において、サイバーセキュリティは私たちの生活の重要な側面となっており、機械学習は、進化し続ける脅威から私たちのシステムとデータを保護するための強力なツールであることが証明されています。本書「サイバーセキュリティのために知っておくべき10の機械学習青写真」は、サイバーセキュリティの防御を改善するための高度な人工知能技術を適用するための実用的な設計と青写真を読者に提供することを目的としています。リアルワールドアプリケーションをターゲットに、このガイドでは、高度な機械学習アルゴリズムの動作を理解し、オープンソースデータセットを使用してセキュリティ固有の問題に適用するか、独自の問題を作成するのに役立ちます。この本は、機械学習の基本とサイバーセキュリティ空間での応用を説明することから始まり、他のドメインと比較してユニークな課題を強調しています。

You may also be interested in:

10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect your systems and boost your defenses with cutting-edge AI techniques
Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python
Blueprints for Text Analytics Using Python Machine Learning-Based Solutions for Common Real World (NLP) Applications
Simple Machine Learning for Programmers Beginner|s Intro to Using Machine Learning, Deep Learning, and Artificial Intelligence for Practical Applications
Machine Learning for Beginners A Complete and Phased Beginner’s Guide to Learning and Understanding Machine Learning and Artificial Intelligence Algoritms
Python Machine Learning The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Machine Learning for Beginners An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)
Machine Learning for Business The Ultimate Artificial Intelligence & Machine Learning for Managers, Team Leaders and Entrepreneurs
Building Machine Learning Systems Using Python Practice to Train Predictive Models and Analyze Machine Learning Results
Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands
Applied Machine Learning and High-Performance Computing on AWS: Accelerate the development of machine learning applications following architectural best practices
Online Machine Learning: A Practical Guide with Examples in Python (Machine Learning: Foundations, Methodologies, and Applications)
Machine Learning for Data Streams with Practical Examples in MOA (Adaptive Computation and Machine Learning series)
Machine Learning Master Machine Learning Fundamentals for Beginners, Business Leaders and Aspiring Data Scientists
Machine Learning The Ultimate Guide to Understand AI Big Data Analytics and the Machine Learning’s Building Block Application in Modern Life
Robust Machine Learning: Distributed Methods for Safe AI (Machine Learning: Foundations, Methodologies, and Applications)
Machine Learning A Guide to PyTorch, TensorFlow, and Scikit-Learn Mastering Machine Learning With Python
Machine Learning for Beginners Build and deploy Machine Learning systems using Python, 2nd Edition
Machine Learning: A Guide to PyTorch, TensorFlow, and Scikit-Learn: Mastering Machine Learning With Python
Machine Learning with Core ML 2 and Swift A beginner-friendly guide to integrating machine learning into your apps
Machine Learning A Guide to PyTorch, TensorFlow, and Scikit-Learn Mastering Machine Learning With Python
Programming Machine Learning Machine Learning Basics Concepts + Artificial Intelligence + Python Programming + Python Machine Learning
Programming Machine Learning Machine Learning Basics Concepts + Artificial Intelligence + Python Programming + Python Machine Learning
Programming With Python 4 Manuscripts - Deep Learning With Keras, Convolutional Neural Networks In Python, Python Machine Learning, Machine Learning With Tensorflow
Computer Programming This Book Includes Machine Learning for Beginners, Machine Learning with Python, Deep Learning with Python, Python for Data Analysis
Machine Learning for Beginners A Practical Guide to Understanding and Applying Machine Learning Concepts
Machine Learning for Finance Master Financial Strategies with Python-Powered Machine Learning
Machine Learning for Finance Master Financial Strategies with Python-Powered Machine Learning
Pragmatic Machine Learning with Python Learn How to Deploy Machine Learning Models in Production
Machine Learning, Animated (Chapman and Hall CRC Machine Learning and Pattern Recognition)
Machine Learning for Absolute Beginners An Absolute beginner’s guide to learning and understanding machine learning successfully
Machine Learning with Python The Ultimate Guide to Learn Machine Learning Algorithms. Includes a Useful Section about Analysis, Data Mining and Artificial Intelligence in Business Applications
Machine Learning Tutorial: Machine Learning Simply Easy Learning
Machine Learning The Ultimate Guide to Understand Artificial Intelligence and Big Data Analytics. Learn the Building Block Algorithms and the Machine Learning’s Application in the Modern Life
Statistics for Machine Learning Implement Statistical methods used in Machine Learning using Python
Introduction to Machine Learning (Adaptive Computation and Machine Learning), 4th Edition
Machine Learning Production Systems Engineering Machine Learning Models and Pipelines
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)