Category: AI, ML and Data Science

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Silver Medal at Kaggle’s “U.S. Patent Phrase to Phrase Matching” Competition

Kaggle competitions are some of the biggest and most competitive data science platforms, drawing hundreds of teams from across the globe. Data scientists at GS Lab participate in Kaggle competitions to continually enhance their expertise in applying cutting-edge and emerging technologies to real-world applications. In this vein, Piyush Chauhan and Krushnakant Mardikar worked on the...

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...