Topic modeling is an unsupervised machine learning technique that's capable of scanning a set of documents, detecting word and phrase patterns within them, and automatically clustering word groups and similar expressions that best characterize a set of documents.
Read MoreRecent Posts by Shruti Tanwar
4 Steps to Improve Data Quality for Training an ML Model
In the era of AI, automated decision making, and continuous process optimization data quality is extremely significant. Companies have to be data-driven and good quality data is a prerequisite for achieving it. Issues pertaining to data quality usually highlight lack of trust in data and poor decisions. So the next time you think you made a breakthrough data discovery, cross-verify its quality.
Read MoreHow to Train and Deploy Machine Learning Models
The process of creating a Machine Learning (ML) model includes training an ML algorithm with relevant data, so the model can make predictions on similar kind of unseen data. The prediction may be a classification (assigning labels) or a regression (a real value). The goal of a machine learning project is to achieve the final model that predicts accurately.
Read More