In the last 15 years, eBay grew from a simple website for online auctions to a full-scale e-commerce enterprise that processes petabytes of data to create a better shopping experience. For e-Commerce […]
When most people hear the word “bias” they think of gender or racial discrimination or other situations where preconceptions lead to bad decisions. These kinds of biases and bad decisions are common. […]
In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. Using a data set about homes, we will […]
For us in the field of digital marketing, we are starting to take for granted that the future belongs to Ecommerce, Big Data, mobile devices, social ecommerce and predictive analytics and machine-learning […]
Learn the basics and keep up with the latest news in data science, machine learning and artificial intelligence by listening to these great podcasts Data science and machine learning have long been […]
Introduction One of the best way to get better at machine learning and deep learning is to watch a lecture from an expert and work your way along with it. If you […]
The Question Recently, a group of analysts were asked this question: “In your opinion, if you had to pick only one, what is the best analytics tool in the marketplace?” My answer […]
News, events and the financial markets have always been linked, with one reacting to the other. Whether by mathematical alchemy or intuition, the holy grail of stock market prediction has turned its […]
The following is an excerpt from Predictive Analytics using R, Copyright 2015 by Jeffrey Strickland In machine learning, Naïve Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes’ […]
It’s no longer the preserve of artificial-intelligence researchers and born-digital companies like Amazon, Google, and Netflix. Machine learning is based on algorithms that can learn from data without relying on rules-based programming. […]
BI Corner 