Preferred learners
- Anywhere
- Academic experience
Categories
Skills
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 linear regression model with can analyze the dataset and a small report
- 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 linear regression model with can analyze the dataset and a small report
- 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.
About the company
- https://www.linkedin.com/company/airaxai
- 2 - 10 employees
- Business & management, Business services, It & computing, Marketing & advertising, Technology
Airax AI stands as a pioneering entity in the realm of artificial intelligence, dedicated to transforming the landscape of the workforce through the introduction of digital AI employees. By harnessing the power of advanced AI and machine learning algorithms, the company crafts highly intelligent, autonomous digital workers capable of performing a wide range of tasks that traditionally required human intervention. These digital employees are not only designed to execute tasks with remarkable efficiency and precision but also to learn and adapt over time, thereby continuously enhancing their productivity and effectiveness in the workplace.
The core mission of Airax AI revolves around democratizing access to AI technologies, making it possible for businesses of all sizes to harness the benefits of AI without the need for extensive resources or expertise. By integrating these digital AI employees into their operations, companies can automate complex processes, analyze large datasets with ease, and provide personalized customer experiences at scale. This not only leads to significant cost savings and operational efficiencies but also enables businesses to focus on strategic initiatives and innovation, fostering a competitive edge in their respective markets.
Furthermore, Airax AI places a strong emphasis on ethical AI deployment and user-centric design, ensuring that their digital employees not only comply with industry standards and regulations but are also accessible and easy to use for individuals with varying levels of technical expertise. Through continuous research and development, Airax AI is committed to advancing the capabilities of their digital workforce, exploring new applications and industries where their AI employees can make a profound impact. By doing so, Airax AI envisions a future where digital AI employees work alongside humans, augmenting human efforts and contributing to a more efficient, productive, and innovative global workforce.