With Machine Learning for Mobile, use popular machine learning toolkits such as Core ML and TensorFlow Lite. Explore cloud services for machine learning that can be used in mobile apps. (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: 274
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Free as of 10/19/2019.