Click to learn more about author Kartik Patel. In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’. What is Frequent Pattern Mining? Frequent Pattern Mining (AKA Association Rule Mining) is an analytical process that finds frequent patterns, associations, or causal structures from data sets found in various kinds […]
A Short Story on Backpropagation
Click to learn more about author Andras Palfi. As in the past months, I’ve been working on applying Machine Learning to traditional business problems like churn, where I don’t have a chance to work with Deep Learning models, I thought it would be a good idea to enroll in Andrew Ng’s new Deep Learning course. Besides […]
Data Literacy and the Colin Powell Rule: From Frontline Field Support to Back Office Operations
Click to learn more about author Paul Barth. Colin Powell famously said that leaders should make critical decisions based on a defined zone of uncertainty. Acting with less than 40% of the data needed is reckless; waiting for more than 70% of the data may be fatal. Balancing time and certainty is a challenge for […]
Practicing Data Science
Click to learn more about author Rosaria Silipo. There are many declinations of Data Science projects: with or without labeled data; stopping at data wrangling or involving Machine Learning algorithms; predicting classes or predicting numbers; with unevenly distributed classes, with binary classes, or even with no examples at all of one of the classes; with […]
Big Data for Big Pharma: The Power of Predictive Analytics
Click to learn more about author Jasmine Morgan. The pharmaceutical industry is a billion-dollar enterprise which sits on mountains of data. It could use a tool which takes these heaps of information and neatly classifies them, highlighting the relationship between different entities like doctors, patients, prescribed drugs, and diagnoses. This industry faces countless problems related to […]
Data-Driven Sales: Using Analytics to Build Business Success
Click to learn more about author Gilad David Maayan. Sales drive revenue. It’s a simple statement that holds true for many businesses, and yet, many companies use antiquated sales techniques. A charming smile and a convincing elevator pitch aren’t the keys to success anymore. Today’s sales reps rely on data to secure new clients and […]
M.S. in Data Science Curriculum
Click to learn more about author Steve Miller. I’ve been blogging on Business Intelligence/Analytics/Data Science for 12 years. And I’ve been recruiting analytics candidates from top colleges for my consulting firms for even longer. Those who read my blogs know I’m pretty opinionated about what I look for in new grads, preferring students committed to […]
Fastest Analytics Using Hybrid Architectures with Machine Learning
Click to learn more about author Henry Bequet. Every year scientists and researchers gather at a conference called Super Computing, or SC, to exchange their views, solutions and problems in computational science. At SC17, there were no fewer than 22 presentations and keynotes involving Machine Learning and Deep Learning (DL). There were actually many more presentations about […]
Scoop Up AI’s Benefits, Skip its Risks and Pitfalls
Click to learn more about author Oksana Sokolovsky and Rohit Mahajan. It seems everyone is awash in enthusiasm for Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). Indeed, there’s a lot of business advantage, both tactical and strategic, to be had from the technology. But there’s potential business risk as well, and a […]
Five Tips to Completing Analytics’ Infamous “Last Mile” in 2019
Click to learn more about author Mike Lamble. In 2017, the term “Data Scientist” was LinkedIn’s fastest growing job title; yet, in the same year, McKinsey reported that less than 10 percent of Analytic Models that are developed actually make it to production where they can deliver ROI. The bottleneck lies in what industry insiders call […]