
Gain insights from StackExchange data using Azure Data Lake Store & Analytics. Learn to analyze 150+ GB of data and visualize findings with Power BI, leveraging SQL and C# skills for big data analysis.

Exploring user behavior in cybersecurity through HCI design. Investigates why users ignore threats and how developers can improve security tools by understanding user perspectives.

Explore bandit algorithms for personalized experiences in modern applications, from recommendations to network optimization. Gain insights as both developer and user.

Discover how T Map's driving data powers personalized POI recommendations, using real user navigation patterns to suggest relevant destinations based on daily routines and weekend preferences.

Explore data-driven product discovery techniques, with insights from Netflix and Spotify, to effectively implement this approach in your own projects.

Explore ML observability in e-commerce, focusing on Loblaw Digital's approach to tracking model performance, user behavior, and business impact using centralized tools and analytics.

Explore latent variable models for capturing user intents in recommender systems, enhancing understanding beyond item-level interactions.

Dive into the humorous and eye-opening findings from monitoring the RSAC wireless network, revealing surprising user behaviors and evolving trends in cybersecurity awareness.

Explore how COVID-19 changed user risk in cybersecurity. Learn from 6M real user actions, understand work-from-home impacts, and discover strategies to identify and secure high-risk users in organizations.

Explore unconventional product uses to drive improvements. Gojko Adzic and Dave Farley discuss leveraging outlier user behaviors for enhanced product development and growth, balancing solo and collaborative work in software engineering.