Useful tips for everyday
Why does noise affect the accuracy of a deep learning model? The noise cases the accuracy of the model to jump around during training, possibly…
Can we do clustering after PCA? It is a common practice to apply PCA (principal component analysis) before a clustering algorithm (such as k-means). It…
How do you measure the success of a successful customer? How to Measure Customer Success Churn Rate. Churn rate is, simply, the number of customers…
Do you need test set with cross-validation? Yes. As a rule, the test set should never be used to change your model (e.g., its hyperparameters).…
How do you interpret NDCG? The NDCG score is simply the ratio of the participant’s DCG score over the ideal ranking’s DCG score i.e: Thus…
What are some of the popular data sets available for machine and deep learning? Machine Learning Datasets for Natural Language Processing Enron Email Dataset. This…
Why do we use Huber loss? In statistics, the Huber loss is a loss function used in robust regression, that is less sensitive to outliers…
What is the loss function for random forest? For the random forest classifier, this is the Gini impurity. The training loss is often called the…
What is a JPG signature? JPEG (Joint Photographic Experts Group) is a commonly used method of lossy compression for digital images, mostly for those images…
How do you remove you are not authorized to access this Web page as per the DOT compliance? Here are some solutions we will try…