Given that the machine learning models are also a kind of conventional software application, the quality assurance principles applied to…
This post intends to propose a technique termed as Dual Coding for testing or performing quality control checks on machine…
Data science/Machine learning career has primarily been associated with building models which could do numerical or class-related predictions. This is…
In this post, you will learn about the definition of quality of AI / machine learning (ML) models. Getting a good understanding of what is…
In this post, you will learn about how metamorphic testing could be used for performing quality control checks/testing on machine learning models. The post is…
This post represents views on why machine learning systems or models are termed as non-testable from quality control/quality assurance perspectives. Before I proceed ahead, let…
In this post, you will learn about different types of test cases which you could come up for testing features of the data…
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 /…
Are you one of the data science/machine learning beginners who wants to learn about P-Value using some examples? Are you…
In this post, you will learn about the difference between Frequentist vs Bayesian Probability. It is of utmost important to understand these concepts if…
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…
Validation techniques in machine learning are used to get the error rate of the ML model which can be considered…
Broadly speaking, Machine learning problems can be classified into three different types such as following: Supervised learning Unsupervised learning Reinforcement…