Artificial Intelligence and Data Science - Deep Learning
Timeline
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November 7, 2023Experience start
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December 7, 2023Experience end
Categories
Machine learning Artificial intelligence Databases Data visualization Scientific researchSkills
python coding technical analysis exploratory data analysisLooking to elevate your organization, and bring it to the next level? Bring on learners from Loyalist College to be your learner-consultants, in a project-based experience. Learners will work on one main project over the experience of the semester, connecting with you as needed with virtual communication tools.
Learners in this program/experience will apply deep learning and data-driven optimization techniques to realize project objective(s). Implementation will be done using suitable frameworks and programming languages (e.g., TensorFlow, Python).
Deliverables are negotiable, and will seek to align the needs of the learners and the organization.
Some final project deliverables might include:
- A 10-15 minute presentation on key findings and recommendations
- A detailed report including their research, analysis, insights and recommendations
Project timeline
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November 7, 2023Experience start
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December 7, 2023Experience end
Project Examples
Learners in groups of 5-6 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis.
Project activities that learners can complete may include, but are not limited to:
- Apply deep learning methods via implementation of working code to demonstrate such application.
- Data visualization and explanation to drive actionable insights.
- Conduct a fit/gap analysis to determine customer/application needs relative to data extraction and analysis.
Companies must answer the following questions to submit a match request to this experience:
Be available for a quick phone/virtual call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the experience.
Provide a dedicated contact person who is available for weekly/bi-weekly drop-ins to address learners’ questions as well as periodic messages over the duration of the project.
Provide an opportunity for learners to present their work and receive feedback.
Provide relevant information and/or data as needed for the project.
How is your project relevant to the experience?
Timeline
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November 7, 2023Experience start
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December 7, 2023Experience end