A big part of what we do at CyberSift is anomaly detection. The recent WannaCry attack highlighted the growing threat of ransomware in the security landscape. The WannaCry authors may have made amateur mistakes, and there may be more stealthy and profitable attacks than WannaCry, but the negative impact it has had on Windows users … Continue reading Anomaly detection vs Ransomware
Hyperparameter optimization in neural networks is generally done heuristically, by varying each individual parameter such as learning rate, batch size and number of steps. Sklearn automates this by using the GridSearchCV [1] Usually Sklearn's examples and documentation is spot on and copy/pasting an example works with minimal changes. However this wasn't quite the case with … Continue reading Nugget Post: Skflow GridSearch
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