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Graph Algorithms and Software Prefetching
A lot of data in the real world can be represented as graphs: you have nodes connected through edges. For example, you are a node in a graph where friendships are edges. I recently met with professor Semih Salihoglu, an expert in graph algorithms and databases. We discussed fun problem... Read more
Demystifying Black-Box Models with SHAP Value Analysis
As an Applied Data Scientist at Civis, I implement the latest data science research to solve real-world problems. We recently worked with a global tool manufacturing company to reduce churn among their most loyal customers. A newly proposed tool, called SHAP (SHapley Additive exPlanation) values, allowed us to build a... Read more
Interviewing is a noisy prediction problem
I have done roughly 2,000 interviews in my life. When I started recruiting, I had so much confidence in my ability to assess people. Let me just throw a couple of algorithm questions at a candidate and then I’ll tell you if they are good or not! Over time... Read more
Feature Engineering for Time Series Analysis – ODSC East 2018
What is a time series analysis in data science? How can you construct an effective time series analysis? What does feature engineering have to do with time series analysis? These questions and more were many of the talking points from the talk by Michael Schmidt, PhD, Chief Scientist at... Read more
LIME Can Make You Better at Machine Learning
LIME is a crucial machine learning tool that can tackle one of the biggest issues in machine learning is the issue of interpretability. You can think of interpretability as explaining how and why a model makes predictions. In this age of the super black box model, it may be... Read more
What lies beyond Big Data Analysis?
Beyond big data analysis lies an innovation known as cognitive analysis, which is capable of providing insights with minimum human support. Information accumulating from disparate sources, differing in formats, is known as big data. This data is essential for organizations as it is capable of providing intuitive insights that... Read more
Understanding Neural Network Bias Values
In my other articles, I have discussed the many different neural network hyper parameters that contribute to optimal success. While hyper parameters are crucial  for training successful algorithms, the importance of neural network bias values are not to be forgotten as well. In this article I’ll delve into the... Read more
Bitcoin Trade Signals
What will Bitcoin do When asked what the stock market will do, J.P Morgan replied “It will fluctuate.”. If we could hypothetically ask Mr Morgan another question, very popular these days, I bet his answer would be “It will fluctuate a loot”. Of course, the question is about the most... Read more
Data Science x Project Planning
A non-technical guide to k-NN algorithm and its application on forecasting, from a project planning point of view, and for beginners. Introduction The intended audience for this short blog post are data science practitioners who seek to implement predictive algorithms in a business-project-based setting, with special focus on presenting... Read more
Generational changes in support for gun laws
This is the fourth article in a series about changes in support for gun control laws over the last 50 years. In the first article I looked at data from the General Social Survey and found that young adults are less likely than previous generations to support gun control. In the second... Read more