What is Artificial Intelligence & Machine Learning?
The theory and practice of computer systems that perform tasks that typically require human intelligence, including visual perception, speech recognition, and decision-making. This includes exposure and practical experience in developing and using algorithms to independently learn from and make predictions or decisions based on data.
Artificial Intelligence & Machine Learning Practices & Skills
1. Definition
| What is AI, ML, neural networks, etc.
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| Guide (in text and video formats), hands-on learning |
Intro to Machine Learning |
Weights & Biases |
https://www.wandb.com/classes/intro/overview |
All videos are 10-20 minutes long.
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2. Ethics
| GC ethical considerations, bias, transparency, etc.
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| Article |
Using Artificial Intelligence in government means balancing innovation with the ethical and responsible use of emerging technologies |
Government of Canada |
https://open.canada.ca/en/blog/using-artificial-intelligence-government-means-balancing-innovation-ethical-and-responsible |
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3. Use Cases
| Business need, predictive analysis, cognitive automation, etc.
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| Article |
Five Government-Ready AI Use Cases |
Accenture |
https://www.accenture.com/us-en/insights/us-federal-government/five-government-ready-ai-use-cases |
Research completed in U.S. Government context.
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4. Processes & Tools
| Data collection, cleaning, visualizations, etc.
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5. Data Management
| Data warehousing, consolidation, storage, etc.
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6. Data Analysis
| Natural language processing, programming languages, Excel, etc.
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