Using Machine Learning Solutions to Solve Serious Security Problems
Offered By: YouTube
Course Description
Overview
Explore machine learning solutions for addressing critical security challenges in this 45-minute conference talk from Central Ohio Infosec 2015. Delve into the evolving landscape of security threats, the role of big data in cybersecurity, and the potential of Hadoop ecosystems. Gain insights into various machine learning algorithms, including decision trees and one-class SVMs, and their applications in anomaly detection. Witness a practical demonstration and discover valuable resources for implementing these cutting-edge techniques in your security strategy.
Syllabus
Intro
The Road So Far
Anti-Cheat Review
Overview
Breaches Keep Taking Place
Rethink Security
Big Data
But Frist... what is Hadoop
It's Really an Ecosystem
The Ecosystem
Common Hadoop Tools
Machine Learning
ML Cycle
Learning Styles
ML Algorithms
Decision Trees
Question
Disadvantages
Demo
Anomaly Detection
One Class SVM
Conclusions
Resources
Related Courses
Building Geospatial Apps on Postgres, PostGIS, & Citus at Large ScaleMicrosoft via YouTube Unlocking the Power of ML for Your JavaScript Applications with TensorFlow.js
TensorFlow via YouTube Managing the Reactive World with RxJava - Jake Wharton
ChariotSolutions via YouTube What's New in Grails 2.0
ChariotSolutions via YouTube Performance Analysis of Apache Spark and Presto in Cloud Environments
Databricks via YouTube