Word2vec
Word2vec: Word2vec is a technique used to create a “word embedding”, which is a vector representation of a word. This can be used to better understand the relationships between words, as well as to train machine learning models.
Word2vec: Word2vec is a technique used to create a “word embedding”, which is a vector representation of a word. This can be used to better understand the relationships between words, as well as to train machine learning models.
Ad Hoc Analysis is an exploratory analysis technique used to uncover patterns or relationships in a dataset. Often times this work is performed “Ad Hoc” or “On The Fly”… meaning it it done in the moment.
Definition of Function Function: A function is a set of instructions that tells a computer what to do. Functions can be used to calculate things, or to make decisions. What are Functions used for? Functions are a key component in the programming language of data science and machine learning. A function is a block of…
Definition of Latent Class Analysis Latent Class Analysis: A technique used to identify unobserved (latent) classes within a population. How is a Latent Class Analysis used? Latent Class Analysis (LCA) is a statistical technique used to identify latent classes within data sets. These latent classes are clusters of data points with similar characteristics, which can…
Bivariate Analysis is the examination of two sets of data, typically in order to identify any correlations between them. This can be used to inform further analysis, or to gain a better understanding of the data…