Dictionary Learning
Definition Dictionary Learning in AI marketing refers to a machine learning technique where a dataset is used to create a dictionary of representative parts or features. These parts or features are then used to interpret, classify or predict new data. It allows marketers to identify patterns, make data-driven decisions, and deliver personalized customer experiences. Key […]
Double Q-Learning
Definition Double Q-Learning in AI marketing refers to a reinforcement learning algorithm used to estimate the value of a specific action within a particular state in a complex environment. It mitigates the overestimation bias of traditional Q-learning by utilizing two separate value estimators (Q-values). These Q-values are interchangeably updated and evaluated, resulting in more accurate […]
Deep Reinforcement Learning
Definition Deep Reinforcement Learning in marketing is an aspect of AI that combines deep learning and reinforcement learning, enabling algorithms to learn from experience. These AI algorithms use trial and error to learn optimal actions in dynamic environments, such as in digital marketing campaigns. This facilitates decision making to attain the best reward outcome, like […]
Deep Learning
Definition Deep Learning in marketing refers to a subset of artificial intelligence (AI) that imitates the workings of the human brain in processing data for decision-making. It uses artificial neural networks to analyze multiple layers of information, enabling the system to learn and improve from its experiences. Therefore, deep learning allows for more precise targeting, […]
Domain Generalization
Definition Domain Generalization in AI marketing is the process where an AI model applies learned skills from one context to new, unseen contexts or domains. It’s an artificial intelligence capability that allows a system to adapt to new environments without requiring additional training on data from the new domain. This technology can be particularly helpful […]
Domain Alignment
Definition Domain Alignment in AI marketing refers to the process of ensuring that an AI system understands and aligns with the specific language, terminologies, and specificities of a unique business domain. It involves tuning the AI model to a company’s specific industry and needs for effective and relevant interpretations. With proper Domain Alignment, AI can […]
Domain Similarity
Definition Domain Similarity in AI marketing refers to the measurement of likeness or common characteristics between different online platforms or websites. Using AI algorithms, it compares elements such as content, user behavior, and site structure. It is used to suggest potential partnerships, identify trends, and improve marketing strategies. Key takeaway Domain Similarity refers to the […]
Domain Adaptation
Definition Domain Adaptation in AI marketing refers to the ability of an AI system to apply knowledge learned in one domain to a different, but related domain. This is particularly useful when there is a lack of labeled data in the new domain. The aim is to enhance AI functionality and accuracy across various contexts, […]
Deep Generative Models
Definition Deep Generative Models in marketing AI refer to artificial intelligence algorithms that are capable of generating content, such as images, videos, or text, by learning patterns from existing data. They utilize deep learning techniques to understand and replicate data patterns. These models can be used in marketing for tasks like creating personalized content, predicting […]
Dirichlet Process
Definition In marketing AI, the term Dirichlet Process refers to a statistical technique often used in machine learning for generating non-parametric Bayesian models. It allows a modeling framework to discover and learn the suitable number of groupings (clusters) in a dataset, without this number being predefined. It is particularly useful for handling categorical data and […]
