Intro: AI, Data Science, and Machine/Deep Learning
Timeline
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January 11, 2021Experience start
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January 19, 2021Project Scope Meeting
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February 16, 2021Midway check in
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April 27, 2021Experience end
Timeline
-
January 11, 2021Experience start
-
January 19, 2021Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
February 16, 2021Midway check in
Students to report on work progress thus far. Employer to give preliminary feedback on students' work.
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April 27, 2021Experience end
Experience scope
Categories
Information technology Data analysis Product or service launchSkills
python coding machine learning artificial intelligence data analysisDo you have a business problem that you'd like to solve with data? Do you want to make smart predictions about your customers?
In this project, students in the Computer Science program at Saskatchewan Polytechnic Artificial Intelligence course will address a problem of your choosing by applying analytics models, methodologies, and tools learned in their program. Teams will work on an end-to-end machine learning solution, from problem formulation to deployment. By the end of the course, our students will provide a solution to your firm.
The students can work on hands-on projects that will involve Data Science, Machine Learning, and/or Deep Learning.
Learners
The deliverable will be a solution to a big data task that your company is working on.
The exact nature and scope of the project deliverable will depend on your company's nature and needs.
Project timeline
-
January 11, 2021Experience start
-
January 19, 2021Project Scope Meeting
-
February 16, 2021Midway check in
-
April 27, 2021Experience end
Timeline
-
January 11, 2021Experience start
-
January 19, 2021Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
February 16, 2021Midway check in
Students to report on work progress thus far. Employer to give preliminary feedback on students' work.
-
April 27, 2021Experience end
Project Examples
Requirements
Students have the following skills/topic expertise:
- Using the Python language to analyze and visualize data
- Performing natural language processing
- Using different AI tools to process data and extract insights that allow machines to make decision
- Applying different machine learning techniques like Supervised Learning, Feature Engineering, Supervised Learning Classification, and Unsupervised Learning.
- Understanding different deep learning concepts
- Implementing deep learning algorithms
- Understanding of the building of artificial neural networks.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Timeline
-
January 11, 2021Experience start
-
January 19, 2021Project Scope Meeting
-
February 16, 2021Midway check in
-
April 27, 2021Experience end
Timeline
-
January 11, 2021Experience start
-
January 19, 2021Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
February 16, 2021Midway check in
Students to report on work progress thus far. Employer to give preliminary feedback on students' work.
-
April 27, 2021Experience end