Expert Insight Book on Machine Learning
Python Machine Learning – Second Edition by Sebastian Raschka & Vahid Mirjalili The first edition of this book, is a balance of classical ideas and modern insig...
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DSC Webinar Series: Dashboard Design with the User in Mind
Attend this latest Data Science Central webinar to learn how to apply UX design principles to your dashboard creation process. Alyshia Olsen, User Experience Designer at ...
11 Great Articles about Stochastic Processes and Related Topics
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
Advanced Analytics – The Fourth Great Lever of Corporate Change
Summary: Advanced analytics and AI are the fourth great lever available to create organic improvement in corporations. We’ll describe why this one is different from...
Learning Machine Learning: A Personal Journey
Who wants to hear a story about data?! …(silence)… Understandably, not a lot of people would raise their hands to an intro like that. For me, however, data ha...
USF Hackathon: Making a Business Hypothesis Actionable with Prescriptive Outcomes
The opportunity to watch and coach the University of San Francisco (USF) students during our annual Hackathon with our friends at Good Dataprobably taught me as much as i...
Who Do We Blame When an AI Finally Kills Somebody
Summary: We’re rapidly approaching the point where AI will be so pervasive that it’s inevitable that someone will be injured or killed. If you thought this was co...
Hypothesis Development Canvas Version 0.4
In the blog “Data Science ‘Paint by the Numbers’ with the Hypothesis Development…,” I introduced the Hypothesis Development Canvas as a tool for linking an ...
Building Shiny Apps: Tutorial
This article was posted by Dean Attali. Dean is currently an R-Shiny consultant. Shiny is a package from RStudio that can be used to build interactive web pages with R....
Reinforcement Learning: Super Mario, AlphaGo and beyond
Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a ...