Non Negative Matrix Factorization Techniques

This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques.

This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques.

Linear algebra computations using NumPy & SciPy, matrix operations, linear decomposition, principal component analysis

Text Cleaning, Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, LSTM for Sentiment, Emotion, Spam & CV Parsing

This book provides the first comprehensive overview of the fascinating topic of audio source separation based on non-negative matrix factorization, deep neural networks, and sparse component analysis.

Data Mining - Unsupervised Learning