Mean: a.k.a. “Simple average.” You get to it by adding up all of the components and then dividing by the number of components. The downside to it is that it’s easily affected by outliers. Median: It’s the medium number in an order data set. If n is the number of observations, the formula would be: […]
Author Archives: Eugene Sheely
Practicing Programming with Gladiabots
I recently purchased a game called “Gladiabots” on Steam, apperently it came out four or five days ago. Their Websites elevator pitch is: AI COMBAT ARENA Assemble your robot squad, construct their AI and send them in the battle arena to see your strategy play out. Iterate, improve and repeat until you outsmart […]
Uranium for Long Term Investment?
I was curious to see Uranium reserves around the world. I wasn’t aware that Australia was number one, China and former USSR countries have a hefty amount, but US and allies seem to be on top. As societies become more complex, the amount of energy require to maintain it (think not only transportation with […]
Categorical Variables Visualization
The four most common representations of categorical variables are: Frequency Distribution Tables Bar Charts Pie Charts Pareto Diagrams Finding intervals The formula for this is: (largest number – smallest number) / number of desired intervals It’s a good idea to round them up if provided a decimal. After this the objective is to figure […]
Data Types and Measurement Scales
Data can be separated into two main groups: It’s type and measurement level. Data types can be categorical and numerical. Categorical: It can be groups in things such as company brands, but also yes and no questions and these two answers would be classified into two categories. Numerical: This is numerical data. This data can […]
Thoughts on Creativity
I saw a post on LinkedIn yesterday that brought back memories of information I’ve read in the past, but I can’t find the exact source. The OP from LinkedIn claimed that creativity was a choice and that the correlation with creativity, which went up in 20’s, then declined to get back up in the 50’s, […]
Book Review: Data Science for Executives by Nir Kaldero
I liked the book overall, it’s an easy read that gives you a broad stroke of data science and it’s applications for business. It argues that the 4th industrial revolution is the most important one, and leaders and businesses will start using data to solve all of their problems, and finding hidden patterns in the […]
Thoughts on Thomas Hobbes
Thoughts on Thomas Hobbes By Eugene Sheely It could be said that Hobbes believed Anarchy to be evil since humans attack each other without quarter. Man exists in a state of perpetual self-interest at the expense of everyone else. Therefore, in order to achieve peace you will give up your rights to a sovereign (social […]
Thoughts on Kant
Thoughts on Kant By Eugene Sheely “…in his contemptuous catalogue of the useless dreamers and impostors of the world he [Napoleon Bonaparte] placed with confidence the name of Kant.” Napoleon, by H.A.L Fisher If we were to summarize Kant’s work at the risk of oversimplifying it we could say that overall Kant searched for universal […]
Thoughts on Aristotles Virtues
My interpretation of Aristotle’s virtue based on my readings and lectures it that since there seems to be a happy mean in achieving good performance, the performance of virtue must also be a happy medium (the myth of Icarus comes to mind, fly to low and you’ll fall, fly too high and your wings will […]