Trac Fujico Air Systems Interview Questions and Answers

Word embedding is a technique to represent words as vectors in a high-dimensional space.

• Word embedding captures the semantic meaning of words and their relationships.

• It is used in natural language processing tasks such as text classification, sentiment analysis, and machine translation.

• Popular word embedding models include Word2Vec, GloVe, and FastText.

• Word embedding can be pre-trained on large corpora or trained on specific domain data.

• It reduces the dimensionality of the in...read more

The architecture diagram of deployments in production showcases the flow of models from training to deployment.

• The diagram typically includes components such as data storage, model training, model serving, and monitoring.

• It shows how data flows through the system, how models are trained and tested, and how they are deployed for inference.

• Common tools used in MLOps architecture include Kubernetes for orchestration, Docker for containerization, and CI/CD pipelines for automatio...read more

Find the longest substring without repeating characters

• Use a sliding window approach to track the longest substring without repeating characters

• Keep track of the characters seen so far and their positions in a hashmap

• Update the start of the window when a repeating character is encountered