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- Category: Articles
- Learning Practical AI Skills
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- Understanding Our World of 2020: A Year in Review
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- Adapting to the Future of AI
- Using AI Responsibly and Ethically
- Six Steps to Stop Fake News
- Test Driving a Tesla with Autopilot
- Investing in an AI-first Economy
- Keeping Our Technological Edge – AFWERX Fusion 2020
- Upgrading Your Career for AI
- Educating Yourself About AI
- The Technologies Driving Modern AI
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- Preparing Your Career for AI
- A Brief History of Data Science
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- 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
- Managing Visual Snow and Tinnitus
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- What is Data Science?
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- CES 2017: A Developer’s Perspective
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- DevSci: Agile, DevOps, and Data Science
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- Happy New Year!
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- Sleep As Android to CSV Converter
- Invitation to Speak at KCDC
- Open-Source IOM DAT to CSV Converter
- DAMA Iowa Chapter Presentation
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- Some Time Off for the Summer
- Invitation to Speak at That Conference
- Data Explorer v0.2.0 Released
- ISU K-12 Computational Thinking Competition
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- Visualizing Fowler’s Layering Principles
- Nebraska Code Camp Featured Speaker Article
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- Category: Quiz
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- EcoSim: Agent-Based Evolutionary Ecosystem Simulator
- Market Traders: An Agent-Based Market Trading Framework
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Workshops
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Courses
- The AI Developer's Toolkit
- Artificial Intelligence: Preparing Your Career for AI
- Artificial Intelligence: The Big Picture
- Intro to Data for Data Science
- Data Science: Executive Briefing
- Deep Learning: The Big Picture
- Data Science: The Big Picture
- Writing Testable Code
- Clean Architecture: Patterns, Practices, and Principles
- Data Science with R
- Mastering Data Visualization with R
- Multivariate Data Visualization with R
- Beginning Data Visualization with R
- Exploratory Data Analysis with R
Presentations
- The Ethics of AI - With Great Power Comes Great Responsibility
- So You Want to Be a Rockstar?
- Developing Your AI Strategy
- AI for Everything - A Survey of Modern AI Capabilities
- Preparing Your Career for AI
- 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
- DevSci: Data Science for Developers
- Clean Code: A Reader-Centered Approach
- Clean Architecture: Patterns, Practices, and Principles
- Artificial Intelligence: The Big Picture