CPG Industry Levels Playing Field with Power of One
Special thanks to Brandon Kaier (@bkaier) for his research and thoughts on the Digital Twins concept. Unilever, one of the Consumer Package Goods (CPG) industry’s titan...
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Beginners Guide to Chatbots
Summary: This is the first in a series about Chatbots. In this first installment we cover the basics including their brief technological history, uses, basic design c...
Information Retrieval Document Search Engine in R
Introduction: In this post, we learn about building a basic search engine or document retrieval system using Vector space model. This use case is widely used in informati...
Data Analytics in Banking
Banking is getting branch-less, contemporary and digital at a very fast pace. As banks compete to gain competitive advantage, the need for managing big data and analytics...
Introduction to Blockchains & What It Means to Big Data
“Arguably the most significant development in information technology over the past few years, blockchain has the potential to change the way that the world approaches b...
Analyzing the relationship of Twitter users towards brands (e. g. Air Berlin)
Social media platforms such as Twitter and Facebook enable everyone to voice their opinions about topics, companies, and products online. These comments are a great sourc...
Book: Mastering Feature Engineering
Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill...
Building Convolutional Neural Networks with Tensorflow
In the past year I have also worked with Deep Learning techniques, and I would like to share with you how to make and train a Convolutional Neural Network from scratch, ...
Importing Data in R
Importing Data in R a. Using the Combine Command As we know c() function is used to concatenate or combine items in R as specified below: 1 2 >c(item.1, item.2, item.n...
Top 9 Machine Learning Applications in Real World
Machine Learning Applications Some of the machine learning applications are: 1. Image Recognition One of the most common uses of machine learning is image recognition. ...