Artificial Intelligence & Machine Learning Application

Our company is a platform for creating data products enabled by AI, and we want to leverage the latest technology to gain market advantage. Applications of this technology to build data products include recommendation algorithms, predictive analytics like lifetime values, fraud detections, cyber security analytics 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 for specific problem domains (Will provide at the beginning of project) Analyzing the dataset (identify data requirements) 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. (Key is to build a "deployable" solution

Research Assistant for Academic Paper Publication

The primary goal of this project is to conduct comprehensive research on a specific topic within [mention the field], and subsequently, prepare a high-quality research paper for submission to a reputable journal. The selected student will play a crucial role in various aspects of the research process, including participant recruitment, data preparation, literature review, and the writing and editing of the final manuscript.

Artificial Intelligence & Machine Learning Application

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.