Articles liés à Data Science for Cybersecurity: Defending with Machine...
Synopsis
In an era where digital threats evolve at an unprecedented pace, the intersection of data science and cybersecurity has become a critical frontier for safeguarding our interconnected world. Data Science for Cybersecurity: Defending with Machine Learning is born from the recognition that traditional security measures alone are no longer sufficient to combat sophisticated cyber threats. By harnessing the power of machine learning and advanced analytics, we can transform vast streams of data into actionable insights, enabling proactive defense and rapid response in an increasingly complex threat landscape.
This book is designed for cybersecurity professionals, data scientists, and anyone seeking to bridge these disciplines to build more resilient systems. Our goal is to provide a practical, accessible guide that demystifies the application of data science techniques in cybersecurity. From anomaly detection to threat intelligence and predictive modeling, we explore how machine learning can empower defenders to stay ahead of adversaries.
Drawing on real-world examples, case studies, and hands-on approaches, this book balances theoretical foundations with practical implementation. Whether you are a seasoned practitioner or new to the field, our aim is to equip you with the knowledge and tools to leverage data-driven strategies for securing digital assets.
We stand at a pivotal moment where the fusion of data science and cybersecurity is not just an opportunity but a necessity. This book is our contribution to that mission, offering a roadmap for defending with intelligence, precision, and innovation.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour Data Science for Cybersecurity: Defending with Machine...
Image d'archives
Data Science for Cybersecurity (Paperback)
impression à la demandeVendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. In an era where digital threats evolve at an unprecedented pace, the intersection of data science and cybersecurity has become a critical frontier for safeguarding our interconnected world. Data Science for Cybersecurity: Defending with Machine Learning is born from the recognition that traditional security measures alone are no longer sufficient to combat sophisticated cyber threats. By harnessing the power of machine learning and advanced analytics, we can transform vast streams of data into actionable insights, enabling proactive defense and rapid response in an increasingly complex threat landscape.This book is designed for cybersecurity professionals, data scientists, and anyone seeking to bridge these disciplines to build more resilient systems. Our goal is to provide a practical, accessible guide that demystifies the application of data science techniques in cybersecurity. From anomaly detection to threat intelligence and predictive modeling, we explore how machine learning can empower defenders to stay ahead of adversaries.Drawing on real-world examples, case studies, and hands-on approaches, this book balances theoretical foundations with practical implementation. Whether you are a seasoned practitioner or new to the field, our aim is to equip you with the knowledge and tools to leverage data-driven strategies for securing digital assets.We stand at a pivotal moment where the fusion of data science and cybersecurity is not just an opportunity but a necessity. This book is our contribution to that mission, offering a roadmap for defending with intelligence, precision, and innovation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798287342647
Acheter neuf
EUR 29,75
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Data Science for Cybersecurity
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798287342647
Acheter neuf
EUR 29,77
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Data Science for Cybersecurity
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798287342647
Acheter neuf
EUR 27,19
Expédition à EUR 4,86
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Data Science for Cybersecurity (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. In an era where digital threats evolve at an unprecedented pace, the intersection of data science and cybersecurity has become a critical frontier for safeguarding our interconnected world. Data Science for Cybersecurity: Defending with Machine Learning is born from the recognition that traditional security measures alone are no longer sufficient to combat sophisticated cyber threats. By harnessing the power of machine learning and advanced analytics, we can transform vast streams of data into actionable insights, enabling proactive defense and rapid response in an increasingly complex threat landscape.This book is designed for cybersecurity professionals, data scientists, and anyone seeking to bridge these disciplines to build more resilient systems. Our goal is to provide a practical, accessible guide that demystifies the application of data science techniques in cybersecurity. From anomaly detection to threat intelligence and predictive modeling, we explore how machine learning can empower defenders to stay ahead of adversaries.Drawing on real-world examples, case studies, and hands-on approaches, this book balances theoretical foundations with practical implementation. Whether you are a seasoned practitioner or new to the field, our aim is to equip you with the knowledge and tools to leverage data-driven strategies for securing digital assets.We stand at a pivotal moment where the fusion of data science and cybersecurity is not just an opportunity but a necessity. This book is our contribution to that mission, offering a roadmap for defending with intelligence, precision, and innovation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798287342647
Acheter neuf
EUR 31,27
Expédition à EUR 43,22
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)