Definition of Null Hypothesis The null hypothesis is a statement that is presumed to be true until evidence is presented to suggest otherwise. In statistics, the null hypothesis is typically contrasted with the alternative hypothesis, which is the statement that is posited if the null hypothesis is found to be false. The null hypothesis is…
Definition of NoSQL NoSQL is a type of database that does not conform to the traditional model of a relational database. It is schema-less, which means that you don’t have to predefine the fields and structure of your data when you add it to the database. This makes it easy to change and adapt as…
Definition of Normal Distribution A normal distribution is a type of bell-shaped distribution in which the majority of the data falls around the mean. This distribution is often used in statistics to model real-world data.
Definition of Naive Bayes Classifier A naive Bayes classifier is a machine learning algorithm that relies on the assumption that the features of a given object are independent of each other. This algorithm is often used for text classification tasks, such as sorting email into spam and non-spam folders.
Definition of Normalized Normalized: Normalized is a statistic term referring to the process of adjusting a value to have a unit of measurement. For example, the value of weight can be normalized by dividing it by the unit of weight, such as kilograms.
Definition of Normalization Normalization: Normalization is the process of standardizing data so that it has a consistent meaning across different data sets. This can be done by ensuring that all values in a data set are within a certain range, or by converting all data to a single numerical representation. Normalization can make it easier…
Definition of Non-Negative Matrix Factorization Non-Negative Matrix Factorization: Non-negative Matrix Factorization (NMF) is a technique used to decompose a matrix into two parts: a lower triangular matrix (containing the “feature” values) and an upper triangular matrix (containing the “coefficients” associated with each feature).
Definition of Nonlinear Nonlinear: Nonlinearity means that the output of a system is not proportional to the input. In data science, this can often manifest as curved lines when graphing data points, rather than a straight line. Nonlinear systems can be more difficult to model and predict future outcomes.