Category: AI, ML and Data Science

Quantum Computing

This recent announcement from Google is absolutely jaw-dropping. Google says that its 54-qubit Sycamore processor was able to perform a calculation in 200 seconds that would have taken the world’s most powerful supercomputer 10,000 years. Is this real?  Many of you have been asking me what quantum computing is all about? So, I will cover...

Time Series Based Data and Druid

Imagine if we decide to add electronic chips to every vehicle in our city. We would setup drones or receiver towers which would continuously receive messages from these chips. The chip would continuously send data related to the vehicle such as speed, geo coordinates of the vehicle etc. Considering the number of vehicles we have on…

Demystifying the term ‘Data Driven Decision Making’

In today’s competitive and fragmented industry, Data-Driven decision making is the key to competitive advantages. But for many, it seems like a daunting task. The stream and sources of data are never-ending, the complexities associated with them are many, and a majority of manufacturing industry professionals still lack the complete understanding of Data-Driven concepts, tools,…

A Primer On Neural Networks

Background Any system has certain number of inputs, certain number of outputs and some relationship in between. A generic system with m inputs and p outputs can be represented as a function: f (x1, x2, … , xm) = (y1, y2, … , yp) Let us say that you are given a dataset of such...

Machine Learning Basics for a Newbie

Machine Learning (ML) gives computers the ability to learn without being explicitly programmed. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, ML explores the study and construction of algorithms that can learn from and make predictions on data through building a model from sample inputs. It's a really exciting...