This Is Why Human-Centred AI Design Guidebooks Can Gracefully Fail When Used in Manufacturing
Learning from a use case- 20251Murphy ≡ DeepGuide
Exploring what makes an AI Ethics Toolkit tick
AI Ethics Toolkits are everywhere, but do we really understand them?- 20177Murphy ≡ DeepGuide
The Design of Everyday (AI) Things
UI/UX Principles for Building Great Generative AI Tools- 29753Murphy ≡ DeepGuide
Decision Science Meets Design
The design process has changed dramatically over the last few decades. What was once a domain driven by human intuition, judgment, and aesthetic preferences is now augmented by computational methods and data-driven processes. This transition is exemplifie- 21748Murphy ≡ DeepGuide
Diffusion Models: How do They Diffuse?
Understanding the Core Processes Behind Generative AI- 29334Murphy ≡ DeepGuide
How AI Could Soon Take Human-Computer Interaction to New Levels
As AI models reach excellence in speech recognition and synthesis, text processing, and multimodalism, the ultimate voice-user interfaces...- 24979Murphy ≡ DeepGuide
6 Advanced Visualizations in Tableau
An overview of advanced visualizations in Tableau, including step-by-step examples- 25209Murphy ≡ DeepGuide
Designing and Deploying a Machine Learning Python Application (Part 2)
You don't have to be Atlas to get your model into the cloud- 24971Murphy ≡ DeepGuide
The Path to Dominant Design in Generative AI
Musings on dominant design and the strategic factors driving the success or failure of generative AI technology in the race for dominance- 26522Murphy ≡ DeepGuide
Graph Visualization: 7 Steps from Easy to Advanced
Making visualization with Python, NetworkX, and D3.JS- 27811Murphy ≡ DeepGuide
Step-by-Step Guide for Building Bump Charts in Plotly
Learn how to create custom bump charts in Python using Plotly for data visualization- 27443Murphy ≡ DeepGuide
A Design Researcher's Guide to Publishing
Turn 'publish or perish' into 'learn, write, and share'- 28693Murphy ≡ DeepGuide
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Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag