10 Essential Terms for Data Science
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1. Model
2. Algorithm
3. Training
4. Regression
5. Classification
6. Target
7. Training Set
8. Test Set
9. Feature
10. Overfitting
#DataScience#Analytics#BigData#MachineLearning…https://t.co/PWhwHnJNkx
Announcing a new academic journal dedicated - AI and Healthcare - see details at https://t.co/V8lTKf5dz3 - fresh perspective and research always welcome! #healthIT#PredictiveAnalytics
This is a fascinating, complex proposal on aligning #AI with human values. “We believe collaborations between social scientists and ML researchers will be necessary to improve our understanding of the #human side of AI alignment...” #ML#MachineLearning
https://t.co/QtRdsx8U1b
Announcing a new academic journal dedicated - AI and Healthcare - see details at https://t.co/RN3PuiMHEe - fresh perspective and research always welcome!
In order to solve our most pressing public health issues, we have to start at the local level—acknowledging that the solutions to our problems are as diverse as the communities facing them. #healthIT
The successful future for #AI isn't going to be about evaluation of ROC curves and precision and recall. It HAS to be about evaluating how good, how fair, and how representative the training data were. #healthIT