#blogging

Articles tagged with #blogging

#78 Machine Learning & Data Science Challenge 78
What is ImageNet? ImageNet is a project aimed at (manually) labeling and categorizing images into almost 22,000 separate object categories for computer vision research. When we hear about “ImageNet” in the context of deep learning and Convolutional...
Jan 28, 20231 min read7
#74 Machine Learning & Data Science Challenge 74
What are you under by the vanishing gradient problem and how can we solve that? The problem: As more layers using specific activation functions are added to neural networks, the gradients of the loss function approach zero, making the networks toughe...
Jan 26, 20231 min read11
#48 Machine Learning & Data Science Challenge 48
What are upsampling and downsampling with examples? The classification data set with skewed class proportions is called an imbalanced data set. Classes that make up a large proportion of the data sets are called majority classes. Those makeup smalle...
Jan 13, 20232 min read14
#42 Machine Learning & Data Science Challenge 42
What are binomial distribution and polynomial distribution? Binomial Distribution: A binomial distribution can be thought of as simply the probability of a SUCCESS or FAILURE outcome in an experiment or survey that is repeated multiple times. The bi...
Jan 10, 20231 min read9
#41 Machine Learning & Data Science Challenge 41
What is the difference between Type 1 and Type 2 errors and the severity of the error? Type I Error: A Type I error is often referred to as a “false positive" and is the incorrect rejection of the true null hypothesis in favor of the alternative. In...
Jan 10, 20232 min read6
#38 Machine Learning & Data Science Challenge 38
What do you do if there are outliers? The following are the approaches to handling the outliers: Drop the outlier records. Assign a new value: If an outlier seems to be due to a mistake in your data, you try imputing a value. If percentage-wise th...
Jan 8, 20231 min read30