Helpful Resources
Explore these digital resources to learn more about the factors that can influence and guide the design of your product.
Understand the Problem
What is Machine Learning?
Use the resources to learn about machine learning.
- Machine learning, explained | MIT Sloan School of Management
- How a Company used Code-Free Machine Learning
- What Is Image Annotation and How Is It Used To Build AI Models? | appen
- Machine Learning for DUMMIES | Robert’s Theory
(Nalini et al., 2020)*
Why is it important to train ML image models with large, high-quality datasets?
Use these resources to learn about the risks of using machine learning models for image identification.
- Bias in Machine Learning Algorithms
- AI: Training data & Bias
- Ethical Implications of Machine Learning and Algorithms
- Facial Recognition Leads to False Arrest
Ways scientists and entrepreneurs are currently addressing the problem
What can we do to leverage Machine Learning Image Models?
As you begin developing your solution, you can use these resources to see what technologies already exist to find areas to improve.
- You Can Help Train NASA’s Rovers to Better Explore Mars | NASA
- Meet iNaturalist, an AWS-powered nature app that helps you identify plants and animals using image-recognition technology | Amazon
- How Geospatial Imaging and IT Inform FEMA’s Disaster Response | GovCIO
- How Artificial Intelligence is Improving Digital Accessibility | accessibility.com
- Quick, Draw! to identify “doodles.”
Business Models
Use this resource to learn more about the different types of models businesses use to generate revenue.
Reference
*Nalini, R., Sountharya, K., Priya, R. V., & Punitha, R. V. (2020). Onion Price Prediction Based on Artificial Intelligence. International Research Journal of Multidisciplinary Technovation (IRJMT), 2(4), 11-20.
Technical Tools needed for a solution
What mathematical and technological tools can I use to address the Challenge?
- Teachable Machine is a tool that can be used to train a machine learning model for image identification.
Math Resources
- Use the Image Identifier Math Resource (click here for an editable Word Doc version) to learn how experimental probability, conditional probability, and two-way frequency tables can help you prototype your machine learning model.
- Use this Machine Learning Training Log to document the performance of your machine learning model.