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.
Read in 2026, kinda dated by now. Generally good writing and topic coverage. I wish they would have either chose to do purely an into to ai or people ai for security book as the explanations were good for an intro but not deep and the examples were likewise okay as a conceptual application to security but felt very much like toy examples. Some explanations were poorly written.
bonus points for the GitHub repo with the sample code and datasets.
skimmed through it quickly in less than half a day to learn more about AI and ML applications in security. Lot of practical examples in this book. I liked that a lot.