jeff-hernandez

4 ms·

1.
A powerful tool for prediction engineering(github.com)
3 points by jeff-hernandez 6y ago|0 comments
2.
Predicting Consumer Spending with AutoML(compose.alteryx.com)
1 points by jeff-hernandez 6y ago|0 comments
3.
Predictive Maintenance with AutoML(compose.alteryx.com)
2 points by jeff-hernandez 6y ago|0 comments
4.
Demand Forecasting with AutoML(compose.alteryx.com)
2 points by jeff-hernandez 6y ago|0 comments
5.
Easily define prediction tasks for ML(github.com)
1 points by jeff-hernandez 6y ago|0 comments
6.
Make the Most of Machine Learning(infoworld.com)
1 points by jeff-hernandez 6y ago|0 comments
7.
Tap the predictive power of machine learning(infoworld.com)
1 points by jeff-hernandez 6y ago|0 comments
8.
Building Better Training Examples(github.com)
1 points by jeff-hernandez 6y ago|0 comments
9.
Label Generation for ML(github.com)
1 points by jeff-hernandez 6y ago|0 comments
10.
A cross-domain framework for labeling data(github.com)
1 points by jeff-hernandez 6y ago|0 comments
11.
Generate training data for supervised learning(github.com)
2 points by jeff-hernandez 6y ago|0 comments
12.
Build training examples without manually labeling(github.com)
2 points by jeff-hernandez 6y ago|0 comments
13.
Using automation to label time-driven data(github.com)
2 points by jeff-hernandez 6y ago|0 comments
14.
Structuring the labeling process for supervised learning(github.com)
2 points by jeff-hernandez 6y ago|0 comments
15.
Automated Data Labeling(github.com)
2 points by jeff-hernandez 6y ago|0 comments
16.
Labeling data more effectively for supervised learning(github.com)
2 points by jeff-hernandez 6y ago|0 comments
17.
by jeff-hernandez 6y ago
Yes, you can represent the labeling function as a class and use its methods to represent each label individually.
18.
by jeff-hernandez 6y ago
Yes, you can represent the labeling function as a class and use its methods to represent each label individually.
19.
Compose: An ML tool for labeling data(github.com)
1 points by jeff-hernandez 6y ago|1 comments
20.
by jeff-hernandez 6y ago
Compose lets you structure the labeling process by parameterizing prediction problems and integrates easily with Featuretools which automates feature engineering. Definitely worth checking out!
21.
by jeff-hernandez 6y ago
As another option, Compose is a ML tool for labeling data. It structures the labeling process and integrates easily with Featuretools which automates feature engineering. Definitely worth checking out! [1] https://github.com&#x2F