Don't Let Your Bytes Bite Back
Identifying bottlenecks, measuring what matters, and making informed improvements to accelerate results.
Level-up your initiatives (and your career) with this collection of interdisciplinary strategic, tactical, and operational best practices for AI-first readiness.
Identifying bottlenecks, measuring what matters, and making informed improvements to accelerate results.
Mining for data patterns to improve dining experiences—with examples of Apriori-based association rules in R, Python, and Julia.
Shifting from roadmaps to team empowerment, and seeing how North Star visions drive outcomes and inspire teams of missionaries.
Scaling into the stratosphere—streamlining workloads, improving agility, and driving measurable innovation with WSC.
Accelerating time-to-value by automating modeling tasks on beer consumer data—using H2O.ai in R and Python.
Learn how MLOps helps teams turn one-off models into reliable products with monitoring, governance, and business impact at scale.
Prescribing memory abstractions, fragmentation reduction, and hardware-level translations to optimize performance.
Identifying success factors, and making smarter, predictive decisions—with examples of regression trees in R, Python, and Julia.
Combining technical skills, business know-how, and creative energy to become an indispensable force in product teams.