Photo Credit: Adrianna Calvo Introduction Sales campaigns are marketing tool used to boost short-term sales. Success depends on targeting the right type of promotion to the right customer. A poorly designed sales campaign can cost the company; for example, revenue can be lost in the form of the rewards they give … Read moreA Starbucks Case Study: Optimizing Customer-to-Promotion Match
Racial Bias in Conversational AI (source) What is conversational AI It is an emerging field of human computer interaction where we use natural language to exchange information and pass commands to computers. Any single interface with digital devices that you can think of can either be replaced or augmented with AI-enabled … Read moreRacial Bias in Conversational Artificial Intelligence
It is election month in India and a quote by Dr. Rahat Indori sums it up pretty well. “सरहदों पर बहुत तनाव है क्या , पता तो करो चुनाव है क्या !” For English speakers, this means: Is there a lot of tension at the borders? just ask if the elections are … Read moreThe Nation of a Billion Votes
Cloud AI, Edge AI, Fog Computing and Autonomous Systems are all part of the day to day discussion on the future of Artificial Intelligence but so far the real progress delivering the vision of ambient intelligence has been fairly limited. Many have taken this slow progress as proof that AI … Read moreThe Singularity Sneaking Up Behind Us
Data Scientists Are Thinkers By Conor Dewey — 4 min read Data scientists serve a very technical purpose, but one that is vastly different from other individual contributors. Unlike engineers, designers, and project managers, data scientists are exploration-first, rather than execution-first.
Gadgets in a shop in the Lowyat mall in Kuala Lumpur There are 12 things every technology CEO needs to know about IoT Analytics and data science for IoT. IoT Analytics represents a quantum leap in the analytics world. Did you know them? 1. The IOT market in 2018 was estimated … Read more12 Things about IoT Analytics a Technology CEO Needs to Know
Saving feet one model at a time Photo by Markus Spiske on Unsplash Last time on Finding Bayesian Legos, my dear friend Joe and I were trying to find a way to help Joe gain confidence that he has indeed picked-up all of the Legos® his children left behind. My first proposal … Read moreFinding Bayesian Legos — Part 2
A semi-supervised graph-based approach for text classification and inference The most beautiful graph you have ever seen, courtesy of https://www.quora.com/Whats-the-most-beautiful-graph-you-have-ever-seen. In this article, I will walk you through the details of text-based Graph Convolutional Network (GCN) and its implementation using PyTorch and standard libraries. The text-based GCN model is an … Read moreText-based Graph Convolutional Network — Bible Book Classification
Machine Learning Approaches for Time Series Data Modeling time series with non conventional models In this post I play around with some Machine Learning techniques to analyze time series data and explore their potential use in this case of scenarios. In this first post only the first point of the index … Read moreML Approaches for Time Series
In this post, I am going to talk about Apache Cassandra, its purpose, usage, configuration, and setting up a cluster and in the end, how can you access it in your Python applications. At the end of this post, you should have a basic understanding of Cassandra and how you … Read moreGetting started with Apache Cassandra and Python