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@ -157,7 +157,11 @@ The result will be the model's predictions for the entire dataset.
ML++, like most frameworks, is dynamic, and constantly changing! This is especially important in the world of ML, as new algorithms and techniques are being developed day by day. Here a couple things currently being developed for ML++: ML++, like most frameworks, is dynamic, and constantly changing! This is especially important in the world of ML, as new algorithms and techniques are being developed day by day. Here a couple things currently being developed for ML++:
<p> <p>
- Convolutional Neural Networks - Convolutional Neural Networks
</p>
<p>
- Kernels for SVMs - Kernels for SVMs
</p>
<p>
- Support Vector Regression - Support Vector Regression
</p> </p>