NLP

Random Picks

• Unsupervised Learning: Unsupervised learning is a type of machine learning where the model is trained on a dataset without any predefined labels or target variables. The goal of unsupervised learning is to identify patterns and relationships in the data, and grou ... Read More >>
• Pruning: Pruning is a technique used in machine learning and artificial neural networks to reduce the size of the model by removing unnecessary or redundant features. It involves removing the weights and connections between neurons that have little ... Read More >>
• Storage Optimization: Storage optimization is the process of maximizing the efficiency and performance of data storage systems while minimizing costs. This involves analyzing the data storage infrastructure, identifying areas of inefficiency, and implementing st ... Read More >>