AutoAI using IBM Watson
Kartikay Tushir*
Amity School of Engineering & Technology, Amity University, India; B. Tech AI Undergraduate, Noida, Uttar Pradesh, India
*Corresponding Author: Kartikay Tushir, Amity School of Engineering & Technology, Amity University, India; B. Tech AI Undergraduate, Noida, Uttar Pradesh, India.
Published: May 30, 2023
DOI: 10.55162/MCET.04.140
Abstract
Users are given the ability to automate the process of constructing and deploying machine learning models through the use of a tool called AutoAI. It automates the most time-consuming portions of the data science process, such as feature engineering, model selection, and hyperparameter tuning, by making use of a combination of artificial intelligence and machine learning approaches [4]. AutoAI is also capable of providing explanations for its suggestions and forecasts, which makes it much simpler for users to comprehend the thought process that underlies the model's outputs. This tool has the potential to drastically reduce the amount of time and resources required to develop efficient machine learning models, which makes it a useful asset for businesses as well as researchers who are trying to leverage the power of AI in their work.
Keywords: machine learning; IBM Watson; loan risk prediction