machine learning

JupyterLab & Jupyter Notebook Cheat Sheet Commands

Are you starting to create machine learning models (using python programming) using JupyterLab or Jupyter Notebook? This post list down some commands which…

6 years ago

Missing Data Imputation Techniques in Machine Learning

Have you come across the problem of handling missing data/values for respective features in machine learning (ML) models during prediction time? This is different from…

6 years ago

Code of Ethics in Artificial Intelligence (AI) – Key Traits

Do you know that organizations have started paying attention to whether AI/machine learning (ML) models are doing unbiased, safe and…

6 years ago

Ethical AI – Lessons from Google AI Principles

Is your organization using AI/machine learning for many of its products or planning to use AI models extensively for upcoming…

6 years ago

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