Weighted Average
Definition of Weighted Average
Weighted Average: Weighted average is a calculation that assigns a weight to each value in a set and then calculates the sum of those weights divided by the sum of the weights.
Weighted Average: Weighted average is a calculation that assigns a weight to each value in a set and then calculates the sum of those weights divided by the sum of the weights.
Definition of Gradient Boosting Gradient Boosting: Gradient boosting is a machine learning technique that combines a number of weaker models to produce a stronger model. It does this by constructing a model that takes into account the predictions of the weaker models, and uses this information to make its own predictions. What is Gradient Boosting…
Definition of Reinforcement Learning Reinforcement Learning: Reinforcement learning is a type of machine learning that allows machines to learn by trial and error. In reinforcement learning, the machine is given feedback after each trial, which allows it to learn which actions lead to positive outcomes. Reinforcement learning is often used to train robots or other…
Definition of Feature Engineering Feature Engineering: Feature engineering is the process of transforming raw data into a form that is more amenable to analysis or machine learning. This can involve things like aggregating data, transforming variables, or creating new features from existing variables. Feature engineering is an important part of data science, as it can…
Definition of Type II Error Type II error: A type II error, also known as a false negative error, is the incorrect acceptance of a false null hypothesis.