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What is Artificial Intelligence & Machine Learning?
Artificial Intelligence & Machine Learning Practices
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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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| − | | | + | | Video || Neural Networks Explained || LearnCode.academy || https://www.youtube.com/watch?v=GvQwE2OhL8I || 12-minute video. Well-paced with examples. |
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| − | | | + | |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. |
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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? | ||
Latest revision as of 13:24, 7 May 2019
| About | Contact | GCcollab |
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.
