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Posts by category

• Category: Articles
  • Nominal, Ordinal, Interval, and Ratio Data
  • Categorical vs. Numerical Data
  • Transforming Data into Actionable Insight
  • What Are Data, Information, and Knowledge?
  • Should I Become a Data Scientist?
  • The Data Science Hierarchy of Needs
  • Ingredients of a Data-Driven Organization
  • Metrics Have Consequences
  • Choosing R vs. Python for Data Science
  • Getting Started with Data Science
  • CES 2017: A Developer’s Perspective
  • What Is Clean Code?
  • DevSci: Agile, DevOps, and Data Science
  • Top Programming Books
  • What is Essential?
  • The Big Data Refinery
  • Hello HoloWorld
  • Motivating Young Software Developers
  • Data Table Builder
  • What is R?
  • Clean Architecture in ASP.NET MVC 5
  • Visualizing Fowler’s Layering Principles
• Category: News
  • Invitation to Speak at KCDC
  • Devoxx UK Recap
  • Invitation to Speak at Detroit Code
  • Devoxx Presenation Video
  • Article in The Hearing Journal
  • Invitation to Speak at IT/Dev Connections
  • Writing Testable Code
  • SDD London Recap
  • Data Science Q&A with Voxxed
  • NextBuild Recap
  • Interview at Devoxx UK
  • DevSum Recap
  • Geek Girl TechCon Recap
  • European Speaking Tour Recap
  • Microsoft MVP Award
  • Interview with David Giard
  • Detroit Code Recap
  • International Tinnitus Journal Article
  • KCDC 2017 Recap
  • 2004 Album Online
  • Dev on Fire Interview
  • Invitation to Speak at Microsoft Ignite
  • Invitation to Speak at Devoxx Morocco
  • Data Science Specialization
  • Data Science: The Big Picture
  • Invitation to Speak in Dubai
  • Pluralsight Live Recap
  • Microsoft Ignite Recap
  • Public Speaking Tour #2 Recap
  • International Keynote on AI
  • AI Keynote Video
  • Public Speaking Tour #3 Recap

Workshop

• Machine Learning: Data Science to AI with R and Python
• Practical Machine Learning with Python
• Practical Machine Learning with R
• Practical Data Science with R

Presentation

• The Mindful Developer: The Science of Stress Management
• Why Agile? Economics, Psychology, and Science
• Transforming Data into Knowledge
• Machine Learning with R
• Exploratory Data Analysis with R
• Deep Learning: The Future of AI
• Data Visualization with R
• Data Science: The Big Picture
• Data Science: Better Decisions with Data
• DevSci: Data Science for Developers
• Clean Code: A Reader-Centered Approach
• Clean Architecture: Patterns, Practices, and Principles
• Deep Reinforcement Learning: AI that Teaches Itself
• Artificial Intelligence: The Future of Software