Difference between revisions of "The Square/AI & ML"

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<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>What is '''Artificial Intelligence & Machine Learning?'''</center></div>
 
<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>What is '''Artificial Intelligence & Machine Learning?'''</center></div>
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<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;Definition</div>
 
 
<br>
 
<br>
−
<center>[[File:Core Skills Test.png|300px]]</center>
+
<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;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.</div>
−
<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>'''Artificial Intelligence & Machine Learning Practices & Skills'''</center></div>
+
<br>
−
<span class="Ethics">
+
<center>[[File:AI & ML EN.png|700px]]</center>
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{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;"
+
<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>'''Artificial Intelligence & Machine Learning Practices'''</center></div>
 +
 
 +
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white; width:100%;"
 
|+ class="nowrap" | 1. Definition
 
|+ class="nowrap" | 1. Definition
 
|-
 
|-
−
! colspan="4" | Skills: What is AI, ML, neural networks, etc.
+
! colspan="5" | What is AI, ML, neural networks, etc.
 
|-
 
|-
−
! style="background: grey; color: white; | Type of Resource
+
! style="background: grey; color: white; " | Type of Resource
−
! style="background: grey; color: white; | Name/Title
+
! style="background: grey; color: white; " | Name/Title
−
! style="background: grey; color: white; | Contact/Link
+
! style="background: grey; color: white; " | Organization
−
! style="background: grey; color: white; | Notes
+
! style="background: grey; color: white; " | Contact/Link
 +
! style="background: grey; color: white; " | Notes
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
|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.
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
| Online course || Data Science: Machine Learning || HarvardX || https://www.edx.org/course/data-science-machine-learning || Free to audit, $50 USD for certification.
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
 
|}
 
|}
  
−
<span class="Agile">
+
{| 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;"
 
 
|+ class="nowrap" | 2. Ethics
 
|+ class="nowrap" | 2. Ethics
 
|-
 
|-
−
! colspan="4" | Skills: GC ethical considerations, bias, transparency, etc.
+
! colspan="5" | GC ethical considerations, bias, transparency, etc.
 
|-
 
|-
−
! style="background: grey; color: white; | Type of Resource
+
! style="background: grey; color: white; " | Type of Resource
−
! style="background: grey; color: white; | Name/Title
+
! style="background: grey; color: white; " | Name/Title
−
! style="background: grey; color: white; | Contact/Link
+
! style="background: grey; color: white; " | Organization
−
! style="background: grey; color: white; | Notes
+
! style="background: grey; color: white; " | Contact/Link
 +
! style="background: grey; color: white; " | Notes
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
| 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 ||  
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || 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.
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
 
|}
 
|}
  
−
<span class="Agile">
+
{| 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;"
 
 
|+ class="nowrap" | 3. Use Cases
 
|+ class="nowrap" | 3. Use Cases
 
|-
 
|-
−
! colspan="4" | Skills: Business need, predictive analysis, cognitive automation, etc.
+
! colspan="5" | Business need, predictive analysis, cognitive automation, etc.
 
|-
 
|-
−
! style="background: grey; color: white; | Type of Resource
+
! style="background: grey; color: white; " | Type of Resource
−
! style="background: grey; color: white; | Name/Title
+
! style="background: grey; color: white; " | Name/Title
−
! style="background: grey; color: white; | Contact/Link
+
! style="background: grey; color: white; " | Organization
−
! style="background: grey; color: white; | Notes
+
! style="background: grey; color: white; " | Contact/Link
 +
! style="background: grey; color: white; " | Notes
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
|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.
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
|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.
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || 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
 
|}
 
|}
  
−
<span class="Cultural Change">
+
{| 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;"
 
 
|+ class="nowrap" | 4. Processes & Tools
 
|+ class="nowrap" | 4. Processes & Tools
 
|-
 
|-
−
! colspan="4" | Skills: Data collection, cleaning, visualizations, etc.
+
! colspan="5" | Data collection, cleaning, visualizations, 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
 +
|-
 +
|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?
 +
|}
 +
 
 +
{| 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; " | Type of Resource
−
! style="background: grey; color: white; | Name/Title
+
! style="background: grey; color: white; " | Name/Title
−
! style="background: grey; color: white; | Contact/Link
+
! style="background: grey; color: white; " | Organization
−
! style="background: grey; color: white; | Notes
+
! style="background: grey; color: white; " | Contact/Link
 +
! style="background: grey; color: white; " | Notes
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
| Video || Neural Networks Explained || LearnCode.academy || https://www.youtube.com/watch?v=GvQwE2OhL8I || 12-minute video. Well-paced with examples.
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
|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.
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
 
|}
 
|}
  
−
<span class="Mindset">
+
{| 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;"
+
|+ class="nowrap" | 6. Advanced Analysis
−
|+ class="nowrap" | 5. Data Management
 
 
|-
 
|-
−
! colspan="4" | Skills: 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
−
! style="background: grey; color: white; | Name/Title
+
! style="background: grey; color: white; " | Name/Title
−
! style="background: grey; color: white; | Contact/Link
+
! style="background: grey; color: white; " | Organization
−
! style="background: grey; color: white; | Notes
+
! style="background: grey; color: white; " | Contact/Link
 +
! style="background: grey; color: white; " | Notes
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
 
|}
 
|}
  
−
<span class="Open Principle">
+
{| 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;"
+
|+ class="nowrap" | 7. Content Modelling
−
|+ class="nowrap" | 6. Data Analysis
 
 
|-
 
|-
−
! colspan="4" | Skills: 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
−
! style="background: grey; color: white; | Name/Title
+
! style="background: grey; color: white; " | Name/Title
−
! style="background: grey; color: white; | Contact/Link
+
! style="background: grey; color: white; " | Organization
−
! style="background: grey; color: white; | Notes
+
! style="background: grey; color: white; " | Contact/Link
 +
! style="background: grey; color: white; " | Notes
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || Contact/Link || Anything to add?
+
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
 
|-
 
|-
−
| Researcher, professor, video, article, course, etc. || Name/Title || 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


Sqaure new EN.png
About Contact GCcollab


 
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.


AI & ML EN.png
 
Artificial Intelligence & Machine Learning Practices
1. Definition
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
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
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.
Expert, video, article, course, etc. Name/Title Organization Contact/Link Anything to add?
3. Use Cases
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
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
Neural networks, reinforcement learning, supervised vs. unsupervised, etc.
Type of Resource Name/Title Organization Contact/Link 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?
6. Advanced Analysis
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
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?
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