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Data Science

August 24, 2018 1 QA – Blackbox Testing for Machine Learning Models

Data science/Machine learning career has primarily been associated with building models which could do numerical or class-related predictions. This is…

Data Science

August 21, 2018 0 Assessing Quality of AI Models from QA Standpoint

In this post, you will learn about the definition of quality of AI / machine learning (ML) models. Getting a good understanding of what is…

Data Science

Metamorphic Relations for Machine Learning Models QA

August 19, 2018 0 QA – Metamorphic Testing for Machine Learning Models

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…

Data Science

non-testability-of-machine-learning-systems

August 17, 2018 0 QA – Why Machine Learning Systems are Non-testable

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…

Data Science

August 12, 2018 0 QA – Testing Features of Machine Learning Models

In this post, you will learn about different types of test cases which you could come up for testing features of the data…

Data Science

QA and Machine learning Projects with PDCA Cycle

August 8, 2018 0 QA of Machine Learning Models with PDCA Cycle

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…

Data Science

August 2, 2018 0 QA & Data Science – How to Test Features Relevance

In this post, I intend to present a perspective on the need for QA / testing team to test the…

Data Science

QA Framework for testing Machine Learning Models

August 1, 2018 0 Quality Assurance / Testing the Machine Learning Model

This is the first post in the series of posts related to Quality Assurance & Testing Practices and Data Science /…

Data Science

July 19, 2018 0 Data Science – P-Value Explained with Examples

Are you one of the data science/machine learning beginners who wants to learn about P-Value using some examples? Are you…

Data Science

difference between bayesian and frequentist probability

July 5, 2018 0 Difference between Frequentist vs Bayesian Probability

In this post, you will learn about the difference between Frequentist vs Bayesian Probability. It is of utmost important to understand these concepts if…

June 13, 2018 0 AI – Three Different types of Machine Learning Algorithms

This post is aimed to help you learn different types of machine learning algorithms which forms the key to artificial intelligence (AI). Machine…

javascript framework for machine learning

February 17, 2018 1 8 Machine Learning Javascript Frameworks to Explore

Javascript developers tend to look out for Javascript frameworks which can be used to train machine learning models based on…

Data Science

February 7, 2018 0 Machine Learning – Validation Techniques (Interview Questions)

Validation techniques in machine learning are used to get the error rate of the ML model which can be considered…

Supervised vs Unsupervised Machine Learning Problems

February 4, 2018 0 Dummies Notes – Supervised vs Unsupervised Learning

Broadly speaking, Machine learning problems can be classified into three different types such as following: Supervised learning Unsupervised learning Reinforcement…

Data Science