Useful tips for everyday
How do you overfit training data? Applying regularization To address overfitting, we can apply weight regularization to the model. This will add a cost to…
What is the state-of-the-art object detection? Object detection is the task of detecting instances of objects of a certain class within an image. The state-of-the-art…
How do you train models in ImageNet? First, try an image to make sure your code works. Then, try a smaller dataset like CIFAR-10. Finally,…
What is p-value in quality? In null hypothesis significance testing, the p-value is the probability of obtaining test results at least as extreme as the…
How do you explain biplot? A biplot is an overlay of a score plot and a loadings plot, which are two common plots in a…
What is clustering in database management? 1. Clustering : Database Clustering is the process of combining more than one servers or instances connecting to a…
What is a good accuracy random forest? Average absolute error: 4.3 degrees. Accuracy: 92.49 %. The random forest trained on the single year of data…
How many Bigrams can be generated from a sentence? Bigrams are sequence of two words that are appearing adjacent in a sentence. In the given…
What is a CycleGAN? The Cycle Generative Adversarial Network, or CycleGAN, is an approach to training a deep convolutional neural network for image-to-image translation tasks.…
How do you predict car sales? In order to predict the future auto car sales, we need to build a model based on the past…