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What is Artificial Intelligence & Machine Learning?
Artificial Intelligence & Machine Learning Practices
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(Added a course on supervised and unsupervised machine learning.) |
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| − | <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 | + | <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> |
{| 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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| − | | | + | | 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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|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. | |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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| − | | | + | | 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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{| 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. | + | |+ 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? | ||
| + | |} | ||
| + | |||
| + | {| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white; width:100%;" | ||
| + | |+ class="nowrap" | 6. Advanced Analysis | ||
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| − | ! colspan="5" | | + | ! colspan="5" | Big data, deep learning, social network analysis, etc. |
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! 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" | | + | |+ class="nowrap" | 7. Content Modelling |
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| − | ! colspan="5" | | + | ! colspan="5" | Structuring content for re-use, content strategy, etc. |
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! style="background: grey; color: white; " | Type of Resource | ! style="background: grey; color: white; " | Type of Resource | ||
Latest revision as of 13:24, 7 May 2019
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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.
