The primary goal of establishing and implementing Quality Assurance (QA) practices for machine learning/data science projects or, projects using machine learning models is to…
In this post, I intend to present a perspective on the need for QA / testing team to test the…
This is the first post in the series of posts related to Quality Assurance & Testing Practices and Data Science /…
This post is aimed to help you learn different types of machine learning algorithms which forms the key to artificial intelligence (AI). Machine…
Javascript developers tend to look out for Javascript frameworks which can be used to train machine learning models based on…
Sentiment analysis of a text document such as speech, articles on websites etc is about assessing sentiments associated with the…
Machine learning (ML) models is the most commonly used in a data science project. In this post, you will learn…
Data science projects need to go through different project lifecycle stages in order to become successful. In each of the…
Niramai Health Analytix, a Bengaluru-based startup is creating an AI-powered software system for breast cancer screening. Niramai is using following technologies to achieve the objective…
In this article, I would introduce different aspects of the building machine learning models to predict whether a person is suffering from…