Hackers Realm Blog

Transfer learning allows models to harness the insights gained from one task and apply them to new, distinct tasks.

Data augmentation is a fundamental technique to enhance the diversity and quality of the training data by applying various transformations

MFCC stands for Mel-Frequency Cepstral Coefficients.It is a widely used feature extraction technique in the field of audio signal processing

Extracting features from images using a pre-trained model is common technique in transfer learning which saves time and improve performance.

Text preprocessing involves cleaning and transforming raw text data into a format that is more suitable for analysis and machine learning

Explore GloVe word embedding for NLP in Python. Learn feature extraction, transforming words into vector representations. #GloVe #Python

Word2Vec is a NLP technique for learning word embeddings which are dense numerical representations of words in a continuous vector space

TF-IDF is a numerical representation often used in NLP and information retrieval to evaluate the importance of a word in a document

A bag-of-words is a representation of text that describes the occurrence of words within a document.