Abhijit Mondal

Title: Abhijit Mondal: Innovator in Machine Learning

Introduction

Abhijit Mondal is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of training machine learning models, which is crucial in today's data-driven world.

Latest Patents

Abhijit Mondal holds a patent titled "Methods and apparatus for automatic attribute extraction for training machine learning models." This application relates to apparatus and methods for training machine learning models using supervised or semi-supervised learning. In this invention, a computing device obtains training data that includes both labeled and unlabeled data for training a machine learning model. The device applies the machine learning model to the training data to generate output data. The model executes with a plurality of coefficients applied to various hyperparameters. Furthermore, the computing device applies a loss model to the training data and the output data to generate a loss value. Based on these loss values, the device determines updated values for the coefficients of the machine learning model. This process continues until specific conditions are satisfied, after which the final coefficient values are stored in a data repository.

Career Highlights

Abhijit Mondal is currently employed at Walmart Apollo, LLC, where he continues to innovate and contribute to advancements in machine learning technologies. His expertise in this area has positioned him as a valuable asset to his organization.

Collaborations

Abhijit has collaborated with talented individuals such as Sakib Abdul Mondal and Tuhin Bhattacharya, further enhancing the innovative environment in which he works.

Conclusion

Abhijit Mondal's contributions to machine learning through his patent demonstrate his commitment to advancing technology. His work not only reflects his expertise but also his dedication to improving the efficiency of machine learning models.