Data Science

Why take Google Machine Learning Crash Course?

This post represents my thoughts on why you should take the Google Machine Learning (ML) Crash Course. Most importantly, this course would…

6 years ago

How to Choose Right Machine Learning Algorithms?

In this post, you will learn about tips and techniques which could be used for selecting or choosing the right…

6 years ago

QA – How Reliable are your Machine Learning Systems?

In this post, you will learn about different aspects of creating a machine learning system with high reliability. It should…

6 years ago

Why is QA needed for Machine Learning Models?

Given that the machine learning models are also a kind of conventional software application, the quality assurance principles applied to…

6 years ago

Testing Machine Learning Models on Dual Coding Principles

This post intends to propose a technique termed as Dual Coding for testing or performing quality control checks on machine…

6 years ago

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…

6 years ago

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…

6 years ago

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…

6 years ago

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…

6 years ago

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…

6 years ago

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…

6 years ago

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…

6 years ago

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 /…

6 years ago

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…

6 years ago

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…

7 years ago

Data Science – What are Machine Learning (ML) Models?

Machine learning (ML) models is the most commonly used in a data science project. In this post, you will learn…

7 years ago