Introduction to Artificial Intelligence for Security Professionals

by Cylance Data Science Team (Created by), Stuart McClure (Introduction)

Overview

The information security world is rich with information. From reviewing logs to analyzing malware, information is everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence is a field of study that is adept at applying intelligence to vast amounts of data and deriving meaningful results. In this book, we will cover machine learning techniques in practical situations to improve you ability to thrive in a data driven world. With classification, we'll cover how to train a model to distinguish between classes of inputs. In probability, we'll answer the question "What are the odds?" And make use of the results. With deep learning, we'll dive into the powerful biology inspired realms of AI that power some of the most effective methods in machine learning today.

A free version of this book is also available on Cylance.com.

Product Details

BN ID:	2940158680212
Publisher:	The Cylance Press
Publication date:	07/28/2017
Sold by:	Barnes & Noble
Format:	eBook
Pages:	155
File size:	7 MB

About the Author

The Cylance Data Science team consists of experts in a variety of fields. Contributing members from this team for this book include Brian Wallace, a security researcher turned data scientist with a propensity for building tools that merge the worlds of information security and data science. Sepehr Akhavan-Masouleh is a data scientist who works on the application of statistical and machine learning models in cyber-security with a Ph.D from University of California, Irvine. Andrew Davis is a neural network wizard wielding a Ph.D in computer engineering from University of Tennessee. Mike Wojnowicz is a data scientist with a Ph.D from Cornell University who enjoys developing and deploying large-scale probabilistic models due to their interpretability. Data scientist John H. Brock researches applications of machine learning to static malware detection and analysis, holds and M.S. in computer science from University of California, Irvine, and can usually be found debugging Lovecraftian open source code while mumbling to himself about the virtues of unit testing.