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 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 Expand

What is AI, ML, neural networks, etc.
Type of Resource	Name/Title	Organization	Contact/Link	Notes
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.
Online course	Data Science: Machine Learning	HarvardX	https://www.edx.org/course/data-science-machine-learning	Free to audit, $50 USD for certification.
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?

2. Ethics Expand

GC ethical considerations, bias, transparency, etc.
Type of Resource	Name/Title	Organization	Contact/Link	Notes
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
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?

3. Use Cases Expand

Business need, predictive analysis, cognitive automation, etc.
Type of Resource	Name/Title	Organization	Contact/Link	Notes
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.
Online course	Machine Learning Use Case: Call Centre	Amazon Web Services	https://aws.amazon.com/training/course-descriptions/machine-learning/	40 minute self-paced course.
Presentation slides	Transforming Healthcare with AI	FWD50 Conference 2018	https://www.slideshare.net/FWD50/fwd50-2018-transforming-healthcare-with-ai	Presented by Anjali Agrawal, IBM Watson Health

4. Processes & Tools Expand

Data collection, cleaning, visualizations, etc.
Type of Resource	Name/Title	Organization	Contact/Link	Notes
Online course	Data Science Primer (Chapter 3: Data Cleaning)	Elite Data Science	https://elitedatascience.com/data-cleaning
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?

5. Types of Learning Expand

Neural networks, reinforcement learning, supervised vs. unsupervised, etc.
Type of Resource	Name/Title	Organization	Contact/Link	Notes
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?

6. Advanced Analysis Expand

Big data, deep learning, social network analysis, etc.
Type of Resource	Name/Title	Organization	Contact/Link	Notes
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?

7. Content Modelling Expand

Structuring content for re-use, content strategy, etc.
Type of Resource	Name/Title	Organization	Contact/Link	Notes
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?
Expert, video, article, course, etc.	Name/Title	Organization	Contact/Link	Anything to add?