It's time to think beyond the hype and confusion around artificial intelligence and machine learning in security, and get some down-to-earth, practical guidance.
Written by the Cylance Data Science team, Introduction to Artificial Intelligence for Security Professionals is the first book to outline the machine learning techniques and methods that are most applicable to the modern profile of security problems. The book offers real-world, practical, and approachable instruction on how anyone in cybersecurity can apply machine learning to the problems they struggle with every day: malicious hackers.
This book will help you better understand:
- Techniques for dividing samples into clusters based on similarities in features and attributes
- Computational methods for predicting the likelihood that a sample belongs to a predefined class
- Probability as a predictive modeling technique for classifying and clustering samples
- How two types of neural networks can be applied in order to solve a classification problem
