With Hands-On Machine Learning for Cybersecurity, automate your daily workflow by applying use cases to many facets of security. Implement smart machine learning solutions to detect various cybersecurity problems. (Limited-time offer)
Topics included: Basics of Machine Learning in Cybersecurity • Time Series Analysis and Ensemble Modeling • Segregating Legitimate and Lousy URLs • Knocking Down CAPTCHAs • Using Data Science to Catch Email Fraud and Spam • Efficient Network Anomaly Detection Using k-means • Decision Tree and Context-Based Malicious Event Detection • Catching Impersonators and Hackers Red Handed • Changing the Game with TensorFlow • Financial Fraud and How Deep Learning Can Mitigate It • Case Studies
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Publisher: Packt Publishing
Published: December 2018
File size: –
Number of pages: 318
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Free as of 10/18/2019.