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Machine Learning for Cybersecurity Cookbook is the artificial intelligence, network programming, python programming and network security book which tells scientists how to apply modern AI to create powerful cybersecurity solutions. Emmanuel Tsukerman is the author of this fabulous book. This guide is helpful for security researchers and cybersecurity professionals who wanted to implement the latest techniques to enhance computer security. It shares the advanced machine learning techniques which are highly recommended for the data scientists. This book will show them how to experiment the AI techniques while staying on the domain of cybersecurity. It requires fundamental knowledge of python to master.

Machine Learning for Cybersecurity Cookbook is the expert system, network security, semantics and artificial intelligence book which teaches engineers to make powerful cybersecurity solutions. Emmanuel Tsukerman is the author of this tremendous book. It’s time to learn how to create powerful cybersecurity solutions by using AI to get safety from data privacy, malware, pen-testing, intrusion detection, and social engineering. Learn how to utilize the services of Python to create strong security systems for PC. Perform daily work without any problem by trusting on the security of AI. Today, organizations, banks, companies, and data centers are facing the biggest threads of security. Cybersecurity is necessary for every big company to protect their data from malicious URLs. Discover, how to use the Python libraries like sci-kit-learn and TensorFlow to apply AI to create stronger systems for safety purposes. This guide will teach you to create the classifiers to locate and eliminate all the suspicious activities. Make the best use of ML algorithms to apply the latest concepts of cybersecurity. How to create an effective neural network that will help you to locate all the fake images and links. Learn to train an existing model without using the training data.