The domain of data science, analytics and knowledge discovery are the key domains of research in heterogeneous segments. The need to analyze the data for predictive mining and deep mining is always required so that the predictions and decision making can be done with higher degree of accuracy and minimum error rate.
Following are few of the prominent tools and technologies which can be used for data science, analytics and knowledge discovery
- Python Programming
- Scikit-Learn
- OpenCV
- Open AI
- Scilab
- Octave
- PSPP
- WEKA
- Tanagra
- TensorFlow
- Keras
- PyTorch
and many others
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