Weight: In machine learning, weight is a factor that is assigned to a particular input in order to influence the strength of the associated output.
Definition of Perceptron A perceptron is a type of artificial neural network that can be used to learn and classify patterns. It is composed of a number of interconnected processing nodes, or neurons, that can be adjusted based on input data. The perceptron can be used to recognize patterns in data and make decisions accordingly.
Definition of Joint Distribution Joint Distribution: A joint distribution is a way of representing the probability of two or more events occurring simultaneously. What is Joint Distribution used for? Joint Distribution is a statistical tool used to analyze the relationship between two or more random variables. It measures how one variable affects another in a…
Definition of Statistics Statistics: Statistics is the practice of collecting, analyzing, and drawing conclusions from data.
Definition of Objective Function An objective function (in machine learning) is a mathematical formula used to calculate the relative merit of each possible solution to a problem. The objective function takes into account the inputs and outputs of a problem, as well as any constraints that may exist. It then calculates a score for each…
Definition of Interpretability Interpretability: Interpretability is a measure of how easily a model’s predictions can be explained to humans. Models that are easy to interpret are more likely to be trusted and used in decision-making processes. Why does Interpretability matter? Interpretability is an important factor in how effective data science and machine learning tools are….
A/B testing is a method of testing where two versions (A and B) of a web page or app are tested to determine which version produces better results.