Claim your complimentary eBook (worth $39.99) before the offer expires on September 27.
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, you’ll also use GPT 3.5, the secret sauce behind ChatGPT, to generate an artificial dataset of fabricated news.
Later, you’ll 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, you’ll 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.
This free offer expires September 27.
How to get it
Please ensure you read the terms and conditions to claim this offer. Complete and verifiable information is required in order to receive this free offer. If you have previously made use of these free offers, you will not need to re-register. While supplies last!
10 Machine Learning Blueprints You Should Know for Cybersecurity
$39.99 Value | FREE download | Free offer ends September 27
Offered by Packt Publishing, view their other free resources. Expires Sep 13.
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