Grid Search
Definition In the context of AI and marketing, Grid Search is a technique used for hyperparameter tuning or parameter optimization, where the algorithm’s performance is optimized by systematically searching through a specified grid of hyperparameters. It involves defining a grid of hyperparameters and then exploring a set of different combinations through cross-validation. It helps in […]
Genetic Algorithms
Definition Genetic Algorithms (GA) in marketing are AI-based techniques used to solve optimization problems. They mimic the process of natural evolution, utilizing operations such as mutation, crossover (recombination), and selection to find the most effective solutions. In marketing, GAs can help in areas like customer segmentation, targeting, and campaign optimization. Key takeaway Genetic Algorithms in […]
Gradient Descent
Definition Gradient Descent is a machine learning algorithm used in training different AI models. It is an optimization approach that minimizes a function iteratively in order to find the lowest possible value, often employed in minimizing loss functions in predictive analytics. In a marketing context, it helps in refining models for better ad targeting, customer […]
Graphic Design Platform
Definition A Graphic Design Platform in AI marketing refers to a digital tool or software that utilizes Artificial Intelligence to assist in creating, editing and organizing visuals for marketing purposes. It can automate design processes, suggest design elements, and even customize designs based on data inputs. Furthermore, it can improve efficiency, consistency, and personalization in […]
GPT (Generative Pre-trained Transformer)
Definition GPT (Generative Pre-trained Transformer) in AI marketing refers to a type of artificial intelligence model developed by OpenAI. This model is designed to generate human-like text based on the input it’s given, learning from pre-existing data to predict and output coherent and contextually relevant sentences. It’s used in marketing for tasks like content generation, […]
Gated Recurrent Units (GRUs)
Definition Gated Recurrent Units (GRUs) are a type of artificial intelligence algorithm used in deep learning, specifically in recurrent neural networks. They are designed to remember past information and use gates to control the flow of information throughout the unit. In marketing, they can predict consumer behavior, understand customer sentiment or analyze time-series data, based […]
Gradient Boosting Machines (GBMs)
Definition Gradient Boosting Machines (GBMs) in AI marketing refer to a powerful machine learning technique that constructs prediction models in the form of an ensemble of weak prediction models, typically decision trees. These models aim to optimize a loss function, with each new tree in the sequence learning from the errors or residuals of the […]
Gated Recurrent Unit (GRU)
Definition A Gated Recurrent Unit (GRU) is a type of artificial neural network architecture used in deep learning, specifically in recurrent neural networks. It’s designed to retain long-term dependencies in a data sequence without facing the issue known as the vanishing or exploding gradient problem. In the context of AI marketing, GRU’s can be used […]
Generative Adversarial Networks (GANs)
Definition Generative Adversarial Networks (GANs) in marketing is a concept related to AI that involves two neural networks — a generator and a discriminator — that are pitted against each other to create new, synthetic instances of data that can pass for real data. The generator creates data, and the discriminator evaluates that data for […]
Genetic Programming
Definition Genetic Programming in marketing refers to a type of Artificial Intelligence algorithm that evolves programs to perform specific tasks. It’s based on the concept of natural selection and evolution, where the strongest programs survive and continue to evolve. This technique can be used to optimize marketing strategies by predicting future trends and understanding complex […]
