Place and Work - Working Remotely from Gould, CO
Twenty years ago, I sat in front of the hummingbird feeder at my cabin in Colorado and imagined a life where I lived and worked in the...
TALKING TO THE OWL
Exploring the Fascinating Details of Software, Nature, and Data
From nature to software - small details come together to make a grand design.
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Data Dictionary and Kaggle
A Dictionary that was a Birthday Present in 1940 Today I discovered Kaggle. It's a fascinating site with Data Science competitions for...
Exploring Classifiers in Machine Learning
Today, my ML path has me learning Decision Tree Classifiers. All the visualizations I did yesterday focused on looking at flower data...
Comprehending the Iris Data Set from PySpark
Iris Species with Naive Bayse by Vinay Shaw As I wind my way into Machine Learning, I encountered the "Hello World" of ML Data Sets, the...
Entropy and Log Loss
Claude Monet 'Morning on the Seine near Giverny' Entropy measures the level of disorder in a system. Cross-Entropy Loss measures the...
An ML model for Birds in my Back Yard
I feel like I am hunting and pecking my way into Machine Learning. Get it? Birding... pecking... Sorry, I'm just a loser dad. I find...
My Personal Leadership Values Manifesto
Photo by Author in Provincetown, MA I am a person of first principles. I like to take basic concepts and use those ideas to give me a...
Building an ML Model - The PySpark Pipeline
I shouldn't be surprised that building an ML Model is a topic requiring several blog posts and significant study. For example, let's look...
A Checklist for Building a ML Model in Spark
Often the most effective method of understanding data is creating a checklist. As a data practitioner, I use checklists extensively to...
Recommended Books on Machine Learning
Photo by Sylvia Sammon-Burns - Taken at The Common Man Inn Here are the classic Machine Learning book references. An Introduction to...
A Middle Manager Learns Spark
Photo by Author As I dig into machine learning, I find my mathematical and numerical background makes me a perfect candidate as an expert....
Turn JSON into Actionable Data - Lunch
Psychology says that humans are able to process up to 7 pieces of information at a time in our short-term memory. That's why we have...
From Vulgar Mechanick to Nimble Developer: Machine Learning with PySpark and AWS
Introduction Apache Spark is a powerful tool for processing data, but I've found it's easy to get stuck when learning the technology. If...
How to add /usr/local/apache-spark as Content Root on a Mac
After fighting with AWS Glue and realizing that in order to use Glue beyond the point of a dumb scheduler, I need to learn the hell out...
AWS for Data Scientists: From VPC to Spark
VPC Endpoints are the key to connecting AWS services privately with each other. When you use VPC endpoints, all traffic stays on the AWS...
E. W. Dijkstra Archive
E. W. Dijkstra is a very important computer scientist and prolific writer. I like to keep a reference to his work handy. Very inspiring...
Refactoring Scrum from Basic Principles
Photo by Author Scrum is a Software Development Lifecycle Methodology In its most basic form, Scrum is a Software Development Lifecycle...
AWS Networking for Data Scientists: The VPC
The AWS cloud opens a whole new level of frustration for data scientists. You now have access to a cornucopia of amazing tools, but one...
Some Math: Log2 and Factorial Functions
My ongoing side project involves using data techniques to match people across data sources. It is a useful and surprisingly subtle...
Learning from Slack's Data Platform
Big Data Systems Development is filled with complexity, and more often than not, interesting and elegant shortcuts. It is such a vast set...
