AI Glossary & Dictionary for “W”
Find the Flux+Form AI glossary & dictionary to help you make sense of common AI terms. Below you can find an AI Glossary & Dictionary for “W”:
Wasserstein Distance: A distance metric used to measure the dissimilarity between two probability distributions.
Weak Learner: A model that performs only slightly better than random guessing; used as a building block in boosting algorithms.
Web Scraping: Extracting data from websites using automated tools, often to gather market intelligence.
Weight: A parameter in a neural network that determines the strength of the connection between nodes.
Weight Decay: A regularization technique that penalizes large weights to reduce overfitting.
Weight Initialization: The strategy for setting initial values of weights before training; good initialization can speed up convergence.
Weight Sharing: Reusing the same weights across different parts of a network to reduce the number of parameters.
Wide Network: A neural network with many neurons in each layer, enabling it to learn diverse features.
Window Function: In signal processing, a mathematical function applied to a signal to minimize edge effects before analysis.
Workflow Automation: Using AI and software to automate routine marketing tasks such as approvals, scheduling and reporting.
Word Embedding: A dense vector representation of words capturing semantic relationships.
Word2Vec: A popular algorithm for generating word embeddings by training a shallow neural network on large text corpora.
Wrapper Method: A feature selection technique that evaluates subsets of features by training and testing a model on them.
This concludes the AI Glossary & Dictionary for “W”.