Tag: data and model validation, data science, ml pipelines, MLOps
Data and Model Validation in Machine Learning Training Pipelines
Why Data and Model Validation? A Machine Learning application is a piece of Software, the end of the day. Hence, all the maxims applicable to software engineering are...
Evolution of Business Decision Making – From Humans to AI Driven
Practical life is all about Decisions. Often, we are at crossroads, and we need to decide about the next course of action. This is truer in the business world, where...
Elements of a Data Science practice
For a successful Machine Learning or Data Science practice, the following elements are key: Business Case Quality Data Skilled Teams Technology Risk Management Business...
Log Loss as a performance metric
Introduction to Log Loss Whenever we talk about performance metrics of the classification Machine Learning algorithms, the following names come to our mind: Accuracy...
AI in Analytics vs AI in Automation
I was talking to a business leader once. I asked him, “What’s the biggest challenge with the young professionals in AI?” The answer was,...
Knowing when to consider Machine Learning
A Data Scientist is the one who not only knows how to use machine learning but the one who knows when to avoid it. Today, I will stand on the shoulder of a giant i.e....