Patents by Inventor Nihar Dandekar

Nihar Dandekar has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230334367
    Abstract: A system may automatically generate a predictive machine learning model by automatically performing various processes based on an analysis of the data as well as metadata associated with the data. The system may accept a selection of data and a prediction field from the data. The system may automatically generate a set of features based on the data and may automatically remove certain features that cause inaccuracies in the model. The system may balance the data based on a representation rate of certain outcomes. The system may train and select a model based on several candidate models. The system may then perform the predictions based on the selected model and send an indication of the predictions to a user.
    Type: Application
    Filed: May 12, 2023
    Publication date: October 19, 2023
    Inventors: Sara Beth Asher, John Emery Ball, Vitaly Gordon, Till Christian Bergmann, Fai Kan, Chalenge Masekera, Shubha Nabar, Nihar Dandekar, James Reber Lewis
  • Patent number: 11663517
    Abstract: A system may automatically generate a predictive machine learning model by automatically performing various processes based on an analysis of the data as well as metadata associated with the data. The system may accept a selection of data and a prediction field from the data. The system may automatically generate a set of features based on the data and may automatically remove certain features that cause inaccuracies in the model. The system may balance the data based on a representation rate of certain outcomes. The system may train and select a model based on several candidate models. The system may then perform the predictions based on the selected model and send an indication of the predictions to a user.
    Type: Grant
    Filed: January 31, 2018
    Date of Patent: May 30, 2023
    Assignee: Salesforce, Inc.
    Inventors: Sara Beth Asher, John Emery Ball, Vitaly Gordon, Till Christian Bergmann, Kin Fai Kan, Chalenge Masekera, Shubha Nabar, Nihar Dandekar, James Reber Lewis
  • Publication number: 20190138946
    Abstract: A system may automatically generate a predictive machine learning model by automatically performing various processes based on an analysis of the data as well as metadata associated with the data. The system may accept a selection of data and a prediction field from the data. The system may automatically generate a set of features based on the data and may automatically remove certain features that cause inaccuracies in the model. The system may balance the data based on a representation rate of certain outcomes. The system may train and select a model based on several candidate models. The system may then perform the predictions based on the selected model and send an indication of the predictions to a user.
    Type: Application
    Filed: January 31, 2018
    Publication date: May 9, 2019
    Inventors: Sara Beth Asher, John Emery Ball, Vitaly Gordon, Till Christian Bergmann, Kin Fai Kan, Chalenge Masekera, Shubha Nabar, Nihar Dandekar, James Reber Lewis