All machine intelligence is powered by data. This isn’t ground-breaking, or even news – we’ve known about data’s value for decades now. However, not all… Read More »Refined Data is the Key to Train Machine Learning
Demand is the key indicator for every business to consider before taking the first step or expanding in the chosen market segment. It drives economic… Read More »The Complete Guide on Customer Demand Forecasting in Retail
There is no doubt that Google is an absolute giant in the IT world. It creates various software tools for almost any imaginable area of… Read More »Top 8 Google AI Tools
Presentation on decision tree fundamentals such as finding best split, gini, entropy, misclassification error, gain ratio, numerical examples. Full presentation at Thank you Dr. Siddhaling… Read More »Decision Tree Fundamentals
Sometimes it just takes a simple, provocative statement to kick-off the innovation process – to remove an everyday given like driving a car or possessing… Read More »Is Analytics-driven Innovation the Ultimate Oxymoron?
In a meeting with engineering leadership, I was told, “We’ll tack on the AI later.” While doing ethnographic testing with a β customer, I was… Read More »Magic Dust for Artificial Intelligence Product Managers
Abhijeet, the HR head has deployed artificial intelligence in his organization with the objective of taking care of his employees and to stay ahead of… Read More »Positive impact of AI on employee experience
The role of data is changing significantly with advanced methodologies used for upgrading sales and integrating business intelligence in the organisational schema for better outcomes.… Read More »How Data Warehousing Support in Faster Decision Making For Rapid Growth of Organisation?
Kubernetes is a technology that allows us to isolate an application. That is good but how can we scale this? Of course, we should create… Read More »Kubernetes in 10 minutes
Models are simplification or approximation of reality and hence they will not capture all of reality. “All models are wrong, but some are useful” is… Read More »Does "All models are wrong, but some are useful" quote apply to Machine learning models?
