I’m a big college sports fan, especially active in debates about which D1 conference is best. Five years ago, I came across the Learfield Directors’ Cup,… Read More »A Little College Sports Analysis, but First a Little Data Wrangling
Summary: There are some interesting use cases where combining CNNs and RNN/LSTMs seems to make sense and a number of researchers pursuing this. However, the… Read More »Combining CNNs and RNNs – Crazy or Genius?
It is more than just a problem, rather a project, possibly even a long-term one for expert data scientists and/or mathematicians, if you want to… Read More »Off-the-beaten-path Data Science Problem
While businesses around the globe continue to evolve their approaches to data exchange and storage, the rise of blockchain enterprises that specialize in helping other… Read More »Blockchain- and How to Fortify your Business
Machine learning is the branch of computer science and a subfield of Artificial Intelligence that utilizes past data to learn from and use its knowledge… Read More »A Machine Learning approach to strategic market research and segmentation
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers,… Read More »17 Cool Problems with a Statistical Flavor
We live in the world of AI currently, and there is plenty of talk about what the future holds. With doubts over the future everywhere,… Read More »Artificial Intelligence Era Requires New Approaches to Create AI Talent
Many of my MBA students are perplexed about how much data science capabilities and skills they need in order to get hired. It appears that… Read More »How Millennials Should View the World of Data Science
In this 5 Minute Analysis we’ll focus on exploring the collection of Kaggle datasets data in real-time, reorganizing it, and filtering the data to find… Read More »5 Minute Analysis: Underutilized Kaggle Data
Supervised learning – A blessing we have in this machines era. It helps to depict inputs to outputs. It uses labelled training data to deduce… Read More »Supervised Learning – Everything You Need To Know
