18533036. EFFICIENT MACHINE LEARNING TRAINING ON SPREADSHEET DATA simplified abstract (Google LLC)
Contents
- 1 EFFICIENT MACHINE LEARNING TRAINING ON SPREADSHEET DATA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 EFFICIENT MACHINE LEARNING TRAINING ON SPREADSHEET DATA - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about the Technology
- 1.13 Original Abstract Submitted
EFFICIENT MACHINE LEARNING TRAINING ON SPREADSHEET DATA
Organization Name
Inventor(s)
Mathieu Claude Charles-Marie Guillame-bert of Bonstetten (CH)
EFFICIENT MACHINE LEARNING TRAINING ON SPREADSHEET DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18533036 titled 'EFFICIENT MACHINE LEARNING TRAINING ON SPREADSHEET DATA
Simplified Explanation
The patent application describes methods, systems, and apparatus for generating and displaying outputs based on user inputs. It involves using machine learning to predict values in an interactive spreadsheet.
- Display an interactive spreadsheet on a user device.
- Receive user input to identify cells to be filled with predicted values.
- Train a machine learning model on the values in the cells to predict values for the identified cells.
- Generate predicted values for the identified cells using the trained model.
- Display the predicted values on the user device.
Key Features and Innovation
- Use of machine learning to predict values in an interactive spreadsheet.
- User input to identify cells for prediction.
- Real-time display of predicted values on the user device.
Potential Applications
This technology can be applied in financial forecasting, inventory management, and data analysis tasks.
Problems Solved
- Streamlining the process of predicting values in a spreadsheet.
- Providing accurate predictions based on user input.
Benefits
- Improved efficiency in data analysis tasks.
- Enhanced accuracy in predicting values.
- Real-time display of predicted values for quick decision-making.
Commercial Applications
- Financial institutions for forecasting.
- Retail companies for inventory management.
- Data analysis firms for predictive modeling.
Prior Art
Readers can explore prior art related to machine learning in spreadsheet applications and predictive modeling.
Frequently Updated Research
Stay updated on advancements in machine learning algorithms for spreadsheet applications.
Questions about the Technology
How does this technology improve data analysis processes?
This technology enhances data analysis processes by providing accurate predictions based on user input, leading to more informed decision-making.
What are the potential commercial uses of this technology?
The technology can be utilized in various industries such as finance, retail, and data analysis for forecasting, inventory management, and predictive modeling.
Original Abstract Submitted
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating and displaying outputs conditioned on inputs. One of the methods includes displaying an interactive spreadsheet on a display of a user device; receiving an input from a user that identifies one or more cells to be filled in with respective predicted values; in response to receiving the input: training a machine learning model on the values in the cells of the interactive spreadsheet to predict respective values for the one or more identified cells; generating a respective predicted value for each of the identified cells using the trained machine learning model; and displaying the respective predicted values on the user device.
