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Recent Posts by Shruti Tanwar

Data Annotation tool for labeling topic modeling dataset: Skyl Labelwise

on July 29, 2020 | By Shruti Tanwar | Data labeling, topic modeling, data annotation, Skyl Lablewise

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.

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4 Steps to Improve Data Quality for Training an ML Model

on November 18, 2019 | By Shruti Tanwar | natural language processing, machine learning, data quality

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.

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How to Train and Deploy Machine Learning Models

on November 14, 2019 | By Shruti Tanwar | computer vision, natural language processing, training and deployment, 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.

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