0PP
A focused collection of questions on Nlp to sharpen your skills for technical interviews.
the basics of a Recurrent Neural Network (RNN)
Transfer Learning and Fine-Tuning
the TF-IDF vectorization technique
the BERT model and its significance
Evaluation Metrics for NLP (e.g., BLEU, ROUGE)
the Transformer architecture and the Attention mechanism
the concept of Word Embeddings (e.g., Word2Vec, GloVe)
common Text Preprocessing techniques
LSTMs and GRUs
the basics of a Recurrent Neural Network (RNN)
Transfer Learning and Fine-Tuning
the TF-IDF vectorization technique
the BERT model and its significance
Evaluation Metrics for NLP (e.g., BLEU, ROUGE)
the Transformer architecture and the Attention mechanism
the concept of Word Embeddings (e.g., Word2Vec, GloVe)
common Text Preprocessing techniques
LSTMs and GRUs