Least Squares GANs (LSGANs)

Definition Least Squares Generative Adversarial Networks (LSGANs) are a type of AI model in the field of marketing. They utilize the least squares loss function to train the discriminator model, offering more stable and high-quality output compared to standard GANs. This makes LSGANs particularly suitable for tasks involving image generation and enhancements, serving as helpful […]


Definition LightGBM (Light Gradient Boosting Machine) in AI marketing is a gradient boosting framework designed for speed and efficiency. It utilizes tree-based learning algorithms and is recognized for its ability to handle large amounts of data while utilizing lower memory. LightGBM can be used for ranking, classification, and other machine learning tasks in marketing to […]

Long Short-Term Memory (LSTM)

Definition Long Short-Term Memory (LSTM) is a type of artificial intelligence (AI) architecture used in the field of deep learning, particularly in time-series data. It’s a type of recurrent neural network that can learn and remember over long sequences of data, making it effective for complex predictions. In marketing, it can be used to predict […]

Latent Dirichlet Allocation (LDA)

Definition Latent Dirichlet Allocation (LDA) in marketing is a type of AI algorithm often used for topic modeling. It identifies probable topics from a collection of documents by analyzing the word pattern and frequency. In essence, it uncovers hidden (“latent”) topic structures within a text body and helps in organizing, understanding, and summarizing large sets […]

Label Smoothing

Definition Label Smoothing is an AI technique utilized in machine learning models to increase their accuracy and performance. Basically, it modifies the ‘true’ label values, making them slightly less confident to prevent overfitting. This introduces a level of uncertainty and encourages the model to learn from other features, improving generalization and reducing the potential for […]

Locally Linear Embedding (LLE)

Definition Locally Linear Embedding (LLE) is a method used in Artificial Intelligence (AI) for dimensionality reduction – lowering the number of data inputs to simplify its processing. In marketing terms, it is used to visualize and analyze customer data by reducing the complexity of high-dimensional data into lower-dimensional space. This helps marketers to understand consumer […]

Latent Semantic Analysis (LSA)

Definition Latent Semantic Analysis (LSA) in marketing is an AI method used to understand and interpret relationships between a set of documents and terms they contain. It aids in identifying hidden or ‘latent’ patterns and themes within a large body of text, such as customer reviews or product descriptions. LSA accomplishes this by transforming raw […]

Language Model

Definition A Language Model in AI marketing is an algorithm or program that understands, generates, and interprets human language in a valuable and understandable way. It uses probability to predict the next word in a sentence based on the previous words, thereby enabling effective communication. These models are commonly used in applications like speech recognition, […]