Embedding

The time series forecasting model used embedding to learn patterns in time series data.

The mathematician explored the embedding of topological structures in algebraic systems.

The hairdresser is embedding hair extensions into her client's natural hair.

The spacing and embedding of the paragraphs made the document more visually appealing.

The marketer focused on the embedding of brand identity in advertising.

The economist examined the embedding of trade agreements in global markets.

The article had an embedding ad for a clothing brand.

The dentist is embedding a filling into the cavity of a tooth.

The urban planner considered the embedding of sustainability principles in city design.

The dimensionality reduction algorithm employed embedding to transform high-dimensional data into a lower-dimensional space.

The jeweler is embedding diamonds into the gold ring.

The embedding of a map within a travel guide can help to orient tourists.

The physicist used embedding to study the relationship between particles and forces.

The engineer used embedding to optimize data compression algorithms.

The statistician applied embedding to model high-dimensional data.

The data analyst used embedding to cluster high-dimensional data points.

The statistician utilized embedding to analyze complex survey data.

The information retrieval expert applied embedding to improve search results.

The natural language processing researcher employed embedding to represent words in text data.

The biologist utilized embedding to analyze gene expression data.

The chemist applied embedding to study molecular structures.

The machine learning algorithm employed embedding to represent high-dimensional data in a lower-dimensional space.

The embedding of location data within a map can help to provide context and direction.

The embedding of the page numbers was crucial for navigating the document.

The teacher used an embedding technique to help students connect new vocabulary words with their definitions.

The library's online catalog has an embedding feature that allows users to easily find related books.

The city planner's embedding of traffic data helped identify the most congested areas of the city.

The neural machine translation system employed embedding to represent words in different languages as vectors.

The recommender system utilized user-item embedding to learn representations of users and items for personalized recommendations.

The time series forecasting model used embedding to learn patterns in time series data.

The anomaly detection system employed embedding to detect outliers in high-dimensional data.

The natural language processing model employed embedding to represent words as vectors.

The image recognition system employed visual embedding to learn a compact representation of images.

The speech recognition system utilized embedding to represent speech signals as a sequence of vectors.

The recommender system used embedding to learn representations of users and items for personalized recommendations.

The anomaly detection system utilized embedding to detect anomalies in high-dimensional data.

The deep learning model employed embedding to learn features from raw data.

The computer vision system utilized embedding to learn a compact representation of images.

The speech recognition system utilized embedding to represent speech signals as a sequence of vectors.

The data scientist used embedding to reduce the dimensionality of the data for easier analysis.

The clustering algorithm employed embedding to group similar data points together in a lower-dimensional space.

The autoencoder model used embedding to learn compressed representations of high-dimensional data.

The data scientist used word embedding to represent text data in a lower-dimensional space.

The television program had an embedding ad for a new phone.

The online game had an embedding ad for a mobile app.

The online course had an embedding for a reminder to join a live session at a certain time.

The blog post had an embedding for an affiliate link to a recommended product.

The video had an annoying embedding ad that interrupted the content.

The email had an embedding for a banner promoting a sale.

The video had an embedding for a sponsored product in the middle of the content.