Alfred, Find the Attacker - A Primer on AI and ML Applications in the IT Security Domain
Explore AI and ML applications in IT security, covering classification, outlier detection, and user behavior analysis for enhanced protection and threat detection.
System for Deepfake Detection - DeepAudioDetector - Ekoparty 2021
Explora técnicas avanzadas de detección de deepfakes de audio utilizando inteligencia artificial, con énfasis en metodologías, experimentos y herramientas de libre uso para enfrentar amenazas cibernéticas emergentes.
Social Media Botnet Detection with Linkage Analysis and Machine Learning
Explore techniques for detecting social media spam botnets using linkage analysis and machine learning, covering unsupervised and semi-supervised approaches and their applications.
Temporal - Bot or Human? Detecting Malicious Bots with Machine Learning in 2021
Explore advanced techniques for detecting sophisticated bots using machine learning, combining server-side and client-side signals, and leveraging supervised and unsupervised approaches for maximum accuracy.
Smoothed Analysis in Unsupervised Learning via Decoupling
Explore smoothed analysis in unsupervised learning, focusing on tensor decomposition, high-dimensional data, and robust subspace recovery. Gain insights into condition number bounds and perturbation techniques.
Big Data Technology - The Real World Minority Report
Explore big data's role in cybersecurity, including network analysis, domain reputation, and machine learning techniques for threat detection and prevention.
Simple Machine Learning
Explore basic machine learning approaches for classification in PHP, with real-world applications and practical demonstrations.
Machine Learning Exposed - Introduction to Machine Learning
Gentle introduction to machine learning concepts, APIs, and platforms. Covers supervised, unsupervised, reinforcement, and deep learning, with an approachable explanation of underlying mathematics.
Machine Learning Exposed - Introduction to Machine Learning
Gentle introduction to machine learning concepts, APIs, and platforms. Covers supervised, unsupervised, reinforcement, and deep learning, with an approachable overview of underlying mathematics.
Machine Learning Without the Hype
Explore AI, machine learning, and deep learning concepts, comparing rule-based and ML approaches for time-series data. Learn supervised vs unsupervised learning with practical examples and best practices.
Multiscale Methods for Machine Learning
Multiscale machine learning framework for efficient predictions in enormous output spaces, addressing challenges of limited data and scalability through hierarchical modeling and sparse matrix techniques.
Understanding Machine Learning Algorithms Through Examples
Explore common machine learning algorithms and practices through industry examples, learn to choose the right algorithm, and discover Azure ML solutions for automating tasks without coding.
DNS Spikes, Strikes, and The Like
Explore DNS query patterns to identify potential threats using unsupervised learning methods. Learn to analyze traffic trends and distinguish malicious domains from benign spikes.
DNS Spikes, Strikes, and The Like
Explore DNS data analysis techniques, including passive DNS, reputation assessment, and unsupervised learning, to detect and mitigate domain shadowing and other malicious activities.
Do You Live or Die - Explaining Machine Learning with Azure and the Titanic Dataset
Explore machine learning using Azure and the Titanic dataset, covering data preparation, model building, and evaluation for predictive analysis and security applications.
Machine Learning Exposed - The Fundamentals
Gentle introduction to machine learning fundamentals, covering supervised, unsupervised, and reinforcement learning, with practical examples and intuitive explanations of underlying mathematics.
Scikit-learn to "Learn Them All"
Overview of Scikit-learn for machine learning in Python, covering supervised and unsupervised techniques, with code examples and insights on implementation. Includes comparison to other ML libraries and scaling to big data.
Query Embeddings - Web Scale Search Powered by Deep Learning and Python
Explore query embeddings in web-scale search using deep learning and Python. Learn about unsupervised techniques, vector representations, and efficient retrieval systems for improved search engine performance.
Recipe for Text Analysis in Social Media
Explore text analysis in social media using Naïve Bayes classifiers, sentiment analysis, and linguistic information. Learn about opinion lexicons and supervised vs unsupervised learning approaches.
Kick-Start Your Understanding of Machine Learning with Python
Practical guide to building ML applications in Python, focusing on text classification using unsupervised and supervised learning techniques with visualization and deep learning examples.
Reinforcement Learning and Minecraft - ML Con Spring 2018
Explore reinforcement learning through Minecraft's AI platform, Project Malmo. Learn to solve problems using deep learning techniques in a unique experimental environment.