An Introduction to JSON
Source category: Open Source & Emerging Technologies
Author collections: Jim Box
THE COMMUNITY ARCHIVE
Jim Box — Indexed Papers
Publications credited to Jim Box in the available conference metadata. Browse coauthors and original source links below. This is a publication index, not a verified biographical profile; identical names may refer to different people.
36 papers · Showing 1–36
Introducing PROC R
Source category: Open Source & Emerging Technologies
Author collections: Jim Box
Modernizing Clinical Research Analytics with Cloud‑Optimized SAS Procedures
Source category: Advanced Programming
Author collections: Jim Box · Mary Dolegowski
A New Gateway to Open Source in SAS
Source category: Coding Tips & Tricks (CT)
Author collections: Jim Box
A New Gateway to Open Source in SAS Viya
Source category: Advanced Programming
Author collections: Jim Box · Mary Dolegowski
Enhance your Coding Experience with the SAS Extension for VS Code
Source category: Beyond the Basics
Author collections: Jim Box
Enhance your Coding Experience with the SAS Extension for VS Code
Source category: Solution Development
Author collections: Jim Box
Enhance your Coding Experience with the SAS Extension for VS Code
Source category: Basics and Beyond
Author collections: Jim Box
How did that Python code get in my SAS program?
Source category: Beyond the Basics
Author collections: Jim Box
How did that Python code get in my SAS program?
Source category: Open Source Solutions
Author collections: Jim Box
Introduction to SAS Viya
Source category: Hands-On Training
Author collections: Jim Box
Python with Hermione: Unleash Your Inner Coding Witch & Dragon
Source category: R, Python, and Open Source Technologies
Author collections: Charu Shankar · Jim Box
Responsible use of AI Systems
Source category: AI and Emerging Technology
Author collections: Jim Box
Share your Macros and Programs via a SAS Studio GUI Interface
Source category: Solutions Development
Author collections: Jim Box
Share your Macros and Programs with SAS Studio Steps and Flows
Source category: Solution Development
Author collections: Jim Box · Pritesh Desai
What is Machine Learning, Anyway
Source category: Beyond the Basics
Author collections: Jim Box
Developing Web Apps in SAS Visual Analytics
Source category: Solution Development
Author collections: Jim Box · Samiul Haque
R Shiny and SAS Integration: Execute SAS Procs from Shiny Application
Source category: Advanced Programming
Author collections: Samiul Haque · Jim Box
Introduction to Machine Learning – Descriptions and Best Practices
Source category: Analytics & Statistics
Author collections: Jim Box
Running Python Code inside a SAS Program
Source category: Quick Programming Tips
Author collections: Jim Box
What is Machine Learning, anyway?
Source category: Statistics and Analytics
Author collections: Jim Box
Bias in Machine Learning: Your Responsibilities as a Programmer
Source category: Analytics, Big Data & Statistics
Author collections: Jim Box
Learn the Basics About the Pharmaceutical Industry in 20 Minutes
Source category: Pharma and Healthcare
Author collections: Jim Box · Matt Becker
Quick Jumpstart into Pharmaceutical SAS Programming
Source category: Pharma and Healthcare
Author collections: Jim Box · Matt Becker
SAS and Open Source Playing Nicely Together
Source category: Open Source
Author collections: Jim Box · Samiul Haque
SAS and Python Working Together
Source category: Coding Tips & Tricks
Author collections: Jim Box
Statistical Methods for Finding Human Bias in Machine Learning Models
Source category: Analytics & Statistics
Author collections: Jim Box
Story telling with SAS Visual Statistics
Source category: Analytics & Statistics
Author collections: Jim Box · Laura Watson
What’s your model really doing? Human bias in Machine Learning
Source category: Artificial Intelligence (Machine Learning)
Author collections: Jim Box
What’s your model really doing? Understanding human biases in Machine Learning.
Source category: Analytics & Statistics
Author collections: Jim Box
ML05 Do You Know What Your Model is Doing? A Look at How Human Bias Influences Machine Learning
Source category: Machine Learning
Author collections: Jim Box
ML07 ML07 Interpreting Black-box Machine Learning Models: Real-world Evidence Examples and Application
Source category: Machine Learning
Author collections: Jim Box
Build Models without Code with the new SAS Visual Interface
Source category: Advanced Analytics
Author collections: Jim Box
Simulating Enrolment Plans
Source category: Trends & Technology
Author collections: Jim Box
Using Simulation to Create Enrollment Plans
Source category: Strategic Implementation
Author collections: Jim Box
SAS® Studio: We Program
Source category: Techniques & Tutorials
Author collections: Jim Box