Company Filing History:
Years Active: 2022-2023
Title: Manas Rajendra Joglekar: Innovator in Machine Learning
Introduction
Manas Rajendra Joglekar is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of machine learning, particularly in the area of categorical features. With a total of 3 patents, Joglekar's work is paving the way for advancements in how machine learning models process categorical data.
Latest Patents
One of Joglekar's latest patents is titled "Learning to select vocabularies for categorical features." This patent describes methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a respective vocabulary of categorical feature values that should be active during the processing of inputs by a machine learning model. The method involves generating a batch of output sequences, each specifying a respective vocabulary of categorical feature values. For each output sequence, a performance metric of the machine learning model is determined after training the model with only the specified vocabulary active.
Career Highlights
Manas Rajendra Joglekar is currently employed at Google Inc., where he continues to innovate and develop new technologies in machine learning. His work is instrumental in enhancing the efficiency and effectiveness of machine learning applications.
Collaborations
Some of Joglekar's notable coworkers include Jay K Adams and Cong Li, who contribute to the collaborative environment at Google Inc. Their combined expertise fosters innovation and drives the development of cutting-edge technologies.
Conclusion
Manas Rajendra Joglekar is a key figure in the field of machine learning, with a focus on improving the processing of categorical features. His patents and work at Google Inc. highlight his commitment to advancing technology in this area.