Team EasyExamNotes

Long short-term memory (LSTM) networks are a type of recurrent neural network (RNN) architecture used in the fields of deep learning and machine learning. Unlike … Read more

Support vector machines (SVMs) are a supervised machine learning algorithm used for classification and regression tasks. They are known for their effectiveness in high-dimensional spaces … Read more

Definition Recurrent neural networks (RNNs) are a type of artificial neural network (ANN) that is well-suited for sequential data, such as natural language, speech, and … Read more

Definition: Neural networks, also known as artificial neural networks (ANNs) or simply networks, are a type of machine learning algorithm inspired by the structure and … Read more

Definition: Unsupervised machine learning is a type of machine learning that deals with unlabeled data. Unlike supervised learning, where the data is labeled with the … Read more

Machine learning models are mathematical frameworks that can be used to make predictions or decisions based on data. They are a powerful tool that can … Read more

In machine learning, normalizing data, also sometimes called data scaling, is a critical pre-processing step that involves transforming your data into a common range. This … Read more

Data augmentation is a technique used to artificially increase the size of a training dataset by applying transformations to existing data. This can be useful … Read more

In terms of design and implementation, a reinforcement learning (RL) framework is an organized approach that can be used to create RL algorithms. It is … Read more

RGPV PYQ Reinforcement learning (RL) is a type of machine learning that allows an agent to learn by interacting with its environment. The agent receives … Read more