Artificial Intelligence & Machine Learning Application
Preferred learners
- Canada
- Academic experience or paid work
Categories
Skills
Project scope
- What is the main goal for this project?
-
We would like to use few datasets, based on our current projects, and leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to apply the latest AI and machine learning techniques to our dataset to gather new insights that our organization can leverage.
We would like a group of students to analyze datasets, apply AI, ML and data modelling techniques, and come up with some potential applications for how we can apply AI within our organization.
This involves:
- Conduct background research on existing products, services, domains & dataset.
- Conduct research into the latest AI and ML techniques and how they could be applied to our data.
- Developing a ML / AI model which provides some sort of unique outcomes or insights into our data
- Devise models and algorithms to develop scalable solutions that can work in real-time with large amounts of data.
- Develop automation tools to enable machine learning
- Design, train and improve Machine Learning models
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should submit a final report that demonstrates:
- Understanding of the available dataset
- The problem being solved
- Methodologies and approaches
- Outcomes and results
- Recommended next steps for our organization
Bonus steps in the process would also include:
- Providing multiple versions of any potential solutions
- Providing source code in a proper software development environment as applicable
- What is the main goal for this project?
-
We would like to use few datasets, based on our current projects, and leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to apply the latest AI and machine learning techniques to our dataset to gather new insights that our organization can leverage.
We would like a group of students to analyze datasets, apply AI, ML and data modelling techniques, and come up with some potential applications for how we can apply AI within our organization.
This involves:
- Conduct background research on existing products, services, domains & dataset.
- Conduct research into the latest AI and ML techniques and how they could be applied to our data.
- Developing a ML / AI model which provides some sort of unique outcomes or insights into our data
- Devise models and algorithms to develop scalable solutions that can work in real-time with large amounts of data.
- Develop automation tools to enable machine learning
- Design, train and improve Machine Learning models
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should submit a final report that demonstrates:
- Understanding of the available dataset
- The problem being solved
- Methodologies and approaches
- Outcomes and results
- Recommended next steps for our organization
Bonus steps in the process would also include:
- Providing multiple versions of any potential solutions
- Providing source code in a proper software development environment as applicable
- How will you support learners in completing the project?
-
Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:
- Current industry standard approaches to ML and AI.
- Relevant training for ramp up that the students needs.
- Regular sync up and communication through Collaboration tools for progress tracking.
- Opportunity to participate in Ideas brainstorming sessions/meeting to pitch your ideas.
About the company
- https://m2mtechconnect.com
- 11 - 50 employees
- Education, It & computing, Energy, Manufacturing, Technology
Our mission is to empower Canadians by providing cutting-edge STEM skills and facilitating connections to impactful STEM job opportunities and projects. Specializing in Emerging Technologies such as Data Science, Machine Learning (ML), Artificial Intelligence (AI), Virtual Reality (VR), and Augmented Reality (AR), our organization is at the forefront of fostering skills demanded in key sectors including CleanTech, Advanced Manufacturing, Business Intelligence, Finance, and Healthcare.
In addition to upskilling initiatives, we actively engage in Research and Development (R&D) activities. Our organization is committed to pushing the boundaries of knowledge in Emerging Technologies. Through strategic R&D projects, we explore novel applications, contribute to technological advancements, and stay ahead of industry trends.