SINDHU GHANTA

Person

San Mateo, CA, US

People

Patents Grantslast 30 patents

Information Patent Grant
Machine learning abstraction
- Patent number 11,748,653
- Issue date Sep 5, 2023
- DataRobot, Inc.
- Nisha Talagala
- G06 - COMPUTING CALCULATING COUNTING

Patents Applicationslast 30 patents

Information Patent Application
DETERMINING SUITABILITY OF MACHINE LEARNING MODELS FOR DATASETS
- Publication number 20230196101
- Publication date Jun 22, 2023
- DataRobot, Inc.
- SINDHU GHANTA
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
INTERPRETABILITY-BASED MACHINE LEARNING ADJUSTMENT DURING PRODUCTION
- Publication number 20230162063
- Publication date May 25, 2023
- DataRobot, Inc.
- SINDHU GHANTA
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
DETECTING SUITABILITY OF MACHINE LEARNING MODELS FOR DATASETS
- Publication number 20230161843
- Publication date May 25, 2023
- DataRobot, Inc.
- SINDHU GHANTA
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
INTERPRETABILITY-BASED MACHINE LEARNING ADJUSTMENT DURING PRODUCTION
- Publication number 20200193313
- Publication date Jun 18, 2020
- Parallel Machines, Inc.
- SINDHU GHANTA
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
DETERMINING VALIDITY OF MACHINE LEARNING ALGORITHMS FOR DATASETS
- Publication number 20200034665
- Publication date Jan 30, 2020
- DataRobot, Inc.
- SINDHU GHANTA
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
DETECTING SUITABILITY OF MACHINE LEARNING MODELS FOR DATASETS
- Publication number 20190377984
- Publication date Dec 12, 2019
- DataRobot, Inc.
- SINDHU GHANTA
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
MACHINE LEARNING ABSTRACTION
- Publication number 20190108417
- Publication date Apr 11, 2019
- Parallel Machines, Inc.
- NISHA TALAGALA
- G06 - COMPUTING CALCULATING COUNTING

SINDHU GHANTA

Person

Patents Grantslast 30 patents

Machine learning abstraction

Patents Applicationslast 30 patents

DETERMINING SUITABILITY OF MACHINE LEARNING MODELS FOR DATASETS

INTERPRETABILITY-BASED MACHINE LEARNING ADJUSTMENT DURING PRODUCTION

DETECTING SUITABILITY OF MACHINE LEARNING MODELS FOR DATASETS

INTERPRETABILITY-BASED MACHINE LEARNING ADJUSTMENT DURING PRODUCTION

DETERMINING VALIDITY OF MACHINE LEARNING ALGORITHMS FOR DATASETS

DETECTING SUITABILITY OF MACHINE LEARNING MODELS FOR DATASETS

MACHINE LEARNING ABSTRACTION