Data Assessment and Preparation for AI Model Training

Project scope
Categories
Data analysis Software development Artificial intelligence Databases Data scienceSkills
data engineering algorithms test data artificial intelligenceThe goal of this project is to assess and prepare data for data engineering and use in training AI models for Ample Insight Inc. This will involve several different steps for the students, including:
- Analyzing existing datasets to identify any discrepancies or issues.
- Cleaning and formatting the data to ensure it is suitable for use in AI models.
- Developing algorithms to process and transform the data.
- Optimizing the data for use in AI models.
- Testing the data to ensure accuracy and reliability.
By the end of the project, students should demonstrate:
- Understanding of existing datasets and any discrepancies or issues.
- Ability to clean and format data for use in AI models.
- Ability to develop algorithms to process and transform data.
- Ability to optimize data for use in AI models.
- Ability to test data for accuracy and reliability.
Final deliverables should include:
- All source code.
- A written report explaining the design process and outcomes.
At Ample Insight, the students will have the opportunity to work with us on the latest AI and data-related technologies across diverse industries. We will mentor them on technology, data science, business and more.
Specifically to this project, we will provide the students with access to all of the latest tools in data storage, processing, and AI. They will gain real-world experience in being able to turn real-world (and messy) data into usable data for training AI engines.
About the company
Ample Insight is a leading Canadian data consulting firm helping organizations across diverse industries build and scale AI and data solutions. We have a proven track record of solving some of the most complex technical and business problems for leading startups and Fortune 500 companies.
Portals
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Toronto, Ontario, Canada