Your Potential is Much Bigger than You Think - True Continuous Improvement with Toyota Kata
Explore Toyota Kata for true continuous improvement in Agile organizations. Learn practical strategies to unlock potential, measure progress, and foster a culture of innovation and adaptability.
Keep it Clean - Why Bad Data Ruins Projects and How to Fix It
Explore data quality issues in ML projects, their impact, and solutions. Learn to identify and fix bad data for improved project outcomes and performance.
Intro to Empirical Software Engineering - What We Know We Don't Know
Explore empirical software engineering, its challenges, and how data-driven approaches can improve programming practices and distinguish fact from fallacy in software development.
Without Data, You're Just Another Person with Opinions
Explore data-driven DevOps and cross-cutting metrics integration for insightful decision-making in engineering organizations. Learn practical dos and don'ts for effective implementation and interpretation.
Artificial Intelligence Reloaded - AI Apps in the Industry
Explore the comprehensive process of developing AI applications, from data gathering to deployment, and learn how AI is transforming software development in various industries.
Uncovering Lottery Shenanigans
Explore mathematical techniques used to detect lottery fraud, including statistical analysis and probability theory applied to real-world cases of lottery manipulation and misconduct.
Instruction and Resources in Post-secondary Mathematics - How Their Interplay Shape What We Do in the Classroom
Explore how instruction and resources shape post-secondary mathematics classrooms, focusing on textbooks, instrumentation, and planning in Linear Algebra and Calculus courses.
Essentials of Math Modeling - Introduction to Regression and Statistical Ideas
Explore linear regression, data transformations, and statistical concepts in mathematical modeling. Learn MATLAB examples, sensitivity analysis, and problem-solving techniques for real-world applications.
Essentials of Math Modeling - Intro to Data Analysis Using MATLAB and Excel
Learn data analysis techniques using MATLAB and Excel, covering SI models, plotting, data importing, and problem-solving with real-world examples from mathematical modeling challenges.
Tensor Decomposition - A Mathematical Tool for Data Analysis
Explore tensor decomposition as a powerful mathematical tool for analyzing complex data structures, with applications in neuroscience, gas detection, and communication patterns.
Topological Modeling of Complex Data
Explore topological modeling for complex data analysis, covering hierarchical clustering, network building, and applications in diabetes, cancer research, and finance.
The Minimum Exercise for the Max Gain
Discover the most effective daily actions for maximizing longevity and health, based on quantitative analysis of lifestyle choices and their impact on lifespan.
Bytes Between the Lines - Hidden Data in Plain Sight
Explore hidden data risks in seemingly innocuous datasets through a real-world example of parking ticket data analysis, revealing potential privacy and security implications.
Offensive Anti-Analysis
Explore open-source malware analysis tools and techniques for file, URL, network traffic, and memory image analysis. Learn to build an automated analysis lab by chaining tools together.
All Your Logs Are Belong To You!
Discover effective log management techniques and their crucial role in cybersecurity. Learn to harness the power of logs for enhanced threat detection and incident response.
One Stop Anomaly Shop
Comprehensive machine learning framework for anomaly detection in datasets. Enables custom preprocessing, enhances accuracy on small datasets, and targets security threats efficiently.
Walk Through Access Control Systems
Exploring vulnerabilities in biometric access control systems, including server command forgery, unauthorized user addition, and face database exposure. Demonstrates exploits to leak employee data and bypass security measures.
A Decade of Infosec Tools
A quantitative study of 2000+ infosec tools from the past decade, analyzing their evolution and providing insights on creating effective cybersecurity tools.
Secure and Scalable Anomaly-Based Network Intrusion Detection
Presentation on a secure, scalable framework for anomaly-based network intrusion detection, implemented in Go. Explores feature extraction, data collection, and machine learning applications for detecting network threats.
CANsee - An Automobile Intrusion Detection System
Introducing CANsee: A machine learning-based intrusion detection system for automobiles. Detects abnormal CANBUS traffic using a low-cost device to capture and transmit data wirelessly. Open-source project with potential for enhancing vehicle security.
Social Media in Incident Response Program
Explore integrating social media into incident response programs for enhanced situational awareness, flexible communication, and real-time information gathering during crises.