Overview
This course aims to teach learners how to utilize machine learning techniques to enhance information security. The course covers topics such as big data challenges, fraud detection, spam filtering, regression, support vector machines, and improving data quality. The teaching method includes lectures on statistical relevance, the role of data scientists, and practical applications. This course is designed for individuals interested in leveraging machine learning for information security purposes.
Syllabus
Introduction
Important Warning
Agenda
Big Data
Big Data Challenges
Learning
Applications
Fraud Detection
Machine Learning
Spam Filtering
Regression
Support Vector Machines
Why Should We Care
What a Data Scientist Should Be
Statistical Relevance
Angels Evolved
The Bad Guys
How to Get Started
Big Differences
Takeaway
Improving Data Quality
Taught by
BSidesLV