Preferred learners
- Anywhere
- Academic experience
Categories
Project scope
- What is the main goal for this project?
-
Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications.
We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications.
This will involve several different steps for the students, including:
- Conducting background research on our existing products and the dataset.
- Analyzing our current dataset.
- Researching the latest AI / ML techniques and how they could be applied to our data.
- Developing an AI / ML model that provides unique outcomes or insights into our data.
- Providing multiple solutions that can be applied to solve the same problem.
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should demonstrate:
- Understanding of the available dataset
- Understanding of the latest AI / ML techniques
- Identification of ways in which AI / ML can be applied to our company
Bonus steps would include:
- Providing multiple versions of potential models
Final deliverables should include
- A final report on the dataset, the problem solved, methodologies and approaches, outcomes and results, and recommended next steps.
- Source materials such as code and workbooks.
- What is the main goal for this project?
-
Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications.
We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications.
This will involve several different steps for the students, including:
- Conducting background research on our existing products and the dataset.
- Analyzing our current dataset.
- Researching the latest AI / ML techniques and how they could be applied to our data.
- Developing an AI / ML model that provides unique outcomes or insights into our data.
- Providing multiple solutions that can be applied to solve the same problem.
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should demonstrate:
- Understanding of the available dataset
- Understanding of the latest AI / ML techniques
- Identification of ways in which AI / ML can be applied to our company
Bonus steps would include:
- Providing multiple versions of potential models
Final deliverables should include
- A final report on the dataset, the problem solved, methodologies and approaches, outcomes and results, and recommended next steps.
- Source materials such as code and workbooks.
- 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:
- Our current products and applications of AI / ML
- The current data set and guidance in navigating it
- Current industry standard approaches to AI / ML
- Input on choices, problems or anything else the students might encounter.
- What skills or technologies will help learners to complete the project?
-
In order to complete this project, students can self-teach, but it is beneficial to be familiar with:
- Modern ML techniques and data analysis
- Software development using ML languages like Python
- ML ecosystem tools such as Jupyter Notebook
Again, students can complete this project without any of the prior knowledge listed here. Students will be expected to research and learn more about the above as the project goes along.
Supported causes
About the company
- https://www.inclusivityinstitute.ca
- 2 - 10 employees
- Any, Business services, Non-profit, philanthropic & civil society
The Inclusivity Institute for Better Data (IIBD) holds a steadfast mandate to engender an equitable future, anchored in the principles of diversity, equity, and inclusivity. As a non-profit consultancy, our primary role extends beyond research, underlining the profound significance of community development and engagement. Our commitment is hinged upon fostering inclusive growth, upholding objectivity, and driving impactful change responsibly.
Our key endeavor is to provide comprehensive data collection and visualization services, tailoring our offerings to the unique needs of equity-deserving groups. We are dedicated to transforming complex data into clear, comprehensible visualizations, equipping organizations, individuals, and governments with the tools necessary for informed decision-making. We strongly believe that the potency of accurate, accessible data lies in its ability to stimulate advocacy, inform policy development, and direct resource allocation.
At IIBD, we offer a diverse range of services including storytelling, strategic planning, and diversity consulting. These competencies enable us not only to build narratives that engage various stakeholders, but also to craft strategies that reinforce our core values of inclusiveness and impact. By focusing on these elements, we aim to amplify marginalized voices, challenge systemic barriers, and foster an environment that promotes fairness and understanding.