About human-centered artificial intelligence
Human-centered AI helps you get empirical insights into your data through the following steps:
- data gathering (What type? E.g. text, blog or image
From where? E.g. data harvested with TAS Data Collector or own data)
- data cleaning, validation
- transforming, feature engineering
- feature extraction
- model training, parameter tuning
- supervised machine learning: classifier
- unsupervised machine learning: topic modeling, clustering
- model evaluation
- web services
- visualization (What type? E.g. interactive dashboard, print visualization)
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