Research Analyst 2 Interview Questions and Answers

Transformer architecture consists of an input layer, multiple encoder and decoder layers, and an output layer.

• Input layer receives the input sequence

• Encoder layers process the input and generate a hidden representation

• Decoder layers generate the output sequence based on the hidden representation

• Output layer produces the final output sequence

• Transformer uses self-attention mechanism to capture dependencies between input and output sequences

Clustering is a technique used to group similar data points together based on their characteristics.

• Clustering involves partitioning a dataset into groups or clusters based on similarity.

• It is an unsupervised learning technique that does not require labeled data.

• There are different types of clustering algorithms such as K-means, hierarchical clustering, and DBSCAN.

• Clustering can be used in various fields such as customer segmentation, image segmentation, and anomaly detection...read more