Multi-Label Classification with Scikit-MultiLearn
Sep 24, 2021
Multi-label classification allows us to classify data sets with more than one target variable. In multi-label classification, we have several labels that are the outputs for a given prediction. When making...
Abstractive Summarization Using Deep Learning
Sep 24, 2021
Abstractive summarization uses the Pegasus model by Google. The model uses Transformers Encoder-Decoder architecture. The encoder outputs masked tokens while the decoder generates Gap sentences.
Drug Label Extraction using Deep Learning
Sep 21, 2021
Optical Character Recognition (OCR) uses optics to extract readable text into machine-encoded text. A large number of companies that process paper-based forms use OCR to extract texts from documents.
Online Machine Learning with River Python
Sep 20, 2021
Online machine learning is a type of machine learning in which data becomes available in a sequential order. At each step, the model is updated until we have a more accurate and robust model.
Multi-Class Text Classification with PySpark
Sep 12, 2021
PySpark is a python API written as a wrapper around the Apache Spark framework. Apache Spark is an open-source Python framework used for processing big data and data mining. Apache Spark is best known for its...