Wasserstein GANs (WGANs)
Definition Wasserstein GANs (WGANs) are a type of Generative Adversarial Networks (GANs) algorithm in AI. They use the Wasserstein distance metric to measure the difference between the distribution of data generated by the GAN and the real data. This technique results in smoother and more stable training processes, typically generating higher quality synthetic data compared […]
Weight Initialization
Definition Weight initialization in AI marketing refers to the process of assigning initial values to the weights in machine learning models. This crucial step affects the performance and efficiency of the model in its task to analyze and predict marketing data. Poorly initialized weights can result in slower convergence of the model or might lead […]
Word2Vec
Definition Word2Vec is an AI model used in Natural Language Processing (NLP), specifically in the field of marketing to convert words into numerical vectors. These vectors capture the context and semantic relationships between words, helping machines understand and interpret human language. In marketing, it can enhance strategies by understanding customer sentiments, improving personalized recommendations, SEO […]
Word Embeddings
Definition Word Embeddings in AI marketing is a machine learning method used to represent textual data, typically words or phrases, as vectors of numerical values. It captures the context and semantic relationship between words, which allow algorithms to compute similarities and dissimilarities between them. Thus, it aids in understanding and interpreting consumer sentiments, search queries, […]
Website Builder
Definition A Website Builder in AI marketing refers to a software or tool that uses AI capabilities to simplify the process of creating a website. It allows users with little or no coding experience to develop websites by employing ready-made templates, drag-and-drop features, and other customizable functionalities. The AI element enhances the builder’s user-friendliness, efficiency, […]
