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| <center>[[File:AI & ML EN.png|700px]]</center> | | <center>[[File:AI & ML EN.png|700px]]</center> |
− | <div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> <center>'''Artificial Intelligence & Machine Learning Practices & Skills'''</center></div> | + | <div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> <center>'''Artificial Intelligence & Machine Learning Practices'''</center></div> |
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| {| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white; width:100%;" | | {| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white; width:100%;" |
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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 || | | | 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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− | | Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add? | + | | Event || March 6, 2019: Governing AI: Roles for Industry, Research, and Government || Institute on Governance (IOG)'s Policy Crunch Series || https://iog.ca/events/series/policycrunch/ || Free event. Part of IOG's Policy Crunch Series. |
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| | 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? |
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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. | | |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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− | |Course|| Machine Learning Use Case: Call Centre || Amazon Web Services || https://aws.amazon.com/training/course-descriptions/machine-learning/ || 40 minute self-paced course. | + | |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. |
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− | | Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add? | + | | 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 |
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| ! style="background: grey; color: white; " | Contact/Link | | ! style="background: grey; color: white; " | Contact/Link |
| ! style="background: grey; color: white; " | Notes | | ! style="background: grey; color: white; " | Notes |
| + | |- |
| + | |Online course|| Data Science Primer (Chapter 3: Data Cleaning) || Elite Data Science || https://elitedatascience.com/data-cleaning || |
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| | 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? |
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| | 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? |
| + | |} |
| + | |
| + | {| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white; width:100%;" |
| + | |+ class="nowrap" | 5. Types of Learning |
| + | |- |
| + | ! colspan="5" | Neural networks, reinforcement learning, supervised vs. unsupervised, etc. |
| + | |- |
| + | ! style="background: grey; color: white; " | Type of Resource |
| + | ! style="background: grey; color: white; " | Name/Title |
| + | ! style="background: grey; color: white; " | Organization |
| + | ! style="background: grey; color: white; " | Contact/Link |
| + | ! style="background: grey; color: white; " | Notes |
| + | |- |
| + | | Video || Neural Networks Explained || LearnCode.academy || https://www.youtube.com/watch?v=GvQwE2OhL8I || 12-minute video. Well-paced with examples. |
| + | |- |
| + | |Course||Machine Learning (supervised/unsupervised)||edX|| https://www.edx.org/course/principles-of-machine-learning-python-edition-2 ||Learn about data preparation, feature selection and machine learning algorithms. |
| |- | | |- |
| | 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? |
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| {| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white; width:100%;" | | {| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white; width:100%;" |
− | |+ class="nowrap" | 5. Data Management | + | |+ class="nowrap" | 6. Advanced Analysis |
| |- | | |- |
− | ! colspan="5" | Data warehousing, consolidation, storage, etc. | + | ! colspan="5" | Big data, deep learning, social network analysis, etc. |
| |- | | |- |
| ! style="background: grey; color: white; " | Type of Resource | | ! style="background: grey; color: white; " | Type of Resource |
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| {| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white; width:100%;" | | {| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white; width:100%;" |
− | |+ class="nowrap" | 6. Data Analysis | + | |+ class="nowrap" | 7. Content Modelling |
| |- | | |- |
− | ! colspan="5" | Natural language processing, programming languages, Excel, etc. | + | ! colspan="5" | Structuring content for re-use, content strategy, etc. |
| |- | | |- |
| ! style="background: grey; color: white; " | Type of Resource | | ! style="background: grey; color: white; " | Type of Resource |