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Wayne Williams, BetaNews' managing editor inform, Organizations today face a major threat in terms of cybersecurity, from malicious URLs to credential reuse, and having robust security systems can make all the difference.
Machine Learning for Cybersecurity Cookbook:
Over 80 recipes on how to implement machine learning algorithms for building security systems using Python
With Machine Learning for Cybersecurity Cookbook you'll learn how to use Python libraries such as TensorFlow and scikit-learn to implement the latest artificial intelligence (AI) techniques and handle challenges faced by cybersecurity researchers.
You'll begin by exploring various machine learning (ML) techniques and tips for setting up a secure lab environment. Next, you'll implement key ML algorithms such as clustering, gradient boosting, random forest, and XGBoost. The book will guide you through constructing classifiers and features for malware, which you'll train and test on real samples...
All you have to do to get your copy for free is go here, enter the required details, and click the Download button.
The offer expires on April 14, so act fast.
Source: BetaNews
