Description: 10 Machine Learning Blueprints You Should Know for Cybersecurity by Rajvardhan Oak Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book focuses on how machine learning can be used to solve cybersecurity issues such as fraud detection, malware analysis, deepfake identification, and misinformation detection. Each chapter covers the theory of the latest ML methods, and instructs readers in implementation, thus leading to an end-to-end understanding of the problem. Publisher Description Work on 10 practical projects, each with a blueprint for a different machine learning technique, and apply them in the real world to fight against cybercrimePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn how to frame a cyber security problem as a machine learning problemExamine your model for robustness against adversarial machine learningBuild your portfolio, enhance your resume, and ace interviews to become a cybersecurity data scientistBook DescriptionMachine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data. This book will prepare machine learning practitioners to effectively handle tasks in the challenging yet exciting cybersecurity space.The book begins by helping you understand how advanced ML algorithms work and shows you practical examples of how they can be applied to security-specific problems with Python – by using open source datasets or instructing you to create your own. In one exercise, youll also use GPT 3.5, the secret sauce behind ChatGPT, to generate an artificial dataset of fabricated news. Later, youll find out how to apply the expert knowledge and human-in-the-loop decision-making that is necessary in the cybersecurity space. This book is designed to address the lack of proper resources available for individuals interested in transitioning into a data scientist role in cybersecurity. It concludes with case studies, interview questions, and blueprints for four projects that you can use to enhance your portfolio.By the end of this book, youll be able to apply machine learning algorithms to detect malware, fake news, deep fakes, and more, along with implementing privacy-preserving machine learning techniques such as differentially private ML.What you will learnUse GNNs to build feature-rich graphs for bot detection and engineer graph-powered embeddings and featuresDiscover how to apply ML techniques in the cybersecurity domainApply state-of-the-art algorithms such as transformers and GNNs to solve security-related issuesLeverage ML to solve modern security issues such as deep fake detection, machine-generated text identification, and stylometric analysisApply privacy-preserving ML techniques and use differential privacy to protect user data while training ML modelsBuild your own portfolio with end-to-end ML projects for cybersecurityWho this book is forThis book is for machine learning practitioners interested in applying their skills to solve cybersecurity issues. Cybersecurity workers looking to leverage ML methods will also find this book useful. An understanding of the fundamental machine learning concepts and beginner-level knowledge of Python programming are needed to grasp the concepts in this book. Whether youre a beginner or an experienced professional, this book offers a unique and valuable learning experience thatll help you develop the skills needed to protect your network and data against the ever-evolving threat landscape. Author Biography Rajvardhan Oak is a cybersecurity expert, researcher, and scientist with a focus on machine learning solutions to security issues such as fake news, malware, and botnets. He obtained his bachelors degree from the University of Pune, India, and his masters degree from the University of California, Berkeley. He has served on the editorial committees of multiple technical conferences and journals. His work has been featured by prominent news outlets such as WIRED magazine and the Daily Mail. In 2022, he received the ISC2 Global Achievement Award for Excellence in Cybersecurity. He is based in the Seattle area and works for Microsoft as an applied scientist in the ads fraud division. Details ISBN 1804619477 ISBN-13 9781804619476 Title 10 Machine Learning Blueprints You Should Know for Cybersecurity Author Rajvardhan Oak Format Paperback Year 2023 Pages 330 Publisher Packt Publishing Limited GE_Item_ID:142820903; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. 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Price: 63.28 USD
Location: Fairfield, Ohio
End Time: 2024-08-26T06:02:23.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781804619476
Book Title: 10 Machine Learning Blueprints You Should Know for Cybersecurity
Number of Pages: 359 Pages
Publication Name: 10 Machine Learning Blueprints You Should Know for Cybersecurity : Protect Your Network and Data with Cutting-Edge Ai Techniques and Projects to Boost Your Cybersecurity Defenses
Language: English
Publisher: Packt Publishing, The Limited
Publication Year: 2023
Subject: Neural Networks, General
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 92.5 in
Author: Rajvardhan Oak
Item Width: 75 in
Format: Trade Paperback
