Demystifying Black-Box Models with SHAP Value Analysis
As an Applied Data Scientist at Civis, I implemented the latest data science research to solve real-world problems. We recently worked with a global tool manufacturing co...
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Deep learning in satellite imagery
In this article, I hope to inspire you to start exploring satellite imagery datasets. Recently, this technology has gained huge momentum, and we are finding that new poss...
System Modeling: Understanding Logical and Physical Architecture
The goal of both logical and physical architecture specifications is to define and document the logical and physical components of a system, respectively, in order to pro...
Something for nothing: the shortcomings of self-serve BI
Recently, I read an article from CIO.com examining the 5 pitfalls of self-service BI. The author, Thor Olavsrud did a fantastic job explaining how just having a tool does...
20 Great Articles about AI
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
AI responsibility: Taming the algorithm
We’ve reached a point where human (cognitive) task performance is being leveraged or even replaced by AI. So who or what is responsible for what this AI does? While...
Building Recurrent Neural Networks in Tensorflow
Recurrent Neural Nets (RNN) detect features in sequential data (e.g. time-series data). Examples of applications which can be made using RNN’s are anomaly detection in...
Driving AI Revolution with Pre-built Analytic Modules
What is the Intelligence Revolution equivalent to the 1/4” bolt? I asked this question in the blog “How History Can Prepare Us for Upcoming AI Revolution?” when t...
AI-Driven Sales | What Has Changed?
Sales Forecasting: Science or Instinct? Recently, we had talked about marketing automation, a digital transformation in the field that involved both artificial intelligen...
Reconciling Opposing Performance Metrics Using Operational Simulations
Sometimes when dealing with performance metrics, there are contradictory signals. For instance, although both are desirable, it is common for efficiency and efficacy to...