At first I liked tinkering with computers and learn computer programming languages, after graduating high school I started to develop the concept of work on… Read More »Deep Learning (DL) versus Analysis Learning (AL)
The past few years has been like a dream come true for those who work in analytics and big data. There is a new career path… Read More »Big Data Science: Expectations vs. Reality
In this article, we discuss a general framework to drastically reduce the influence of outliers in most contexts. It applies to problems such as clustering… Read More »Tutorial: Neutralizing Outliers in Any Dimension
I periodically use charts containing a crosswave “differential spectrum” or “event horizon.” In this blog, I will explain the nature of the spectrum and the… Read More »Differential Spectrum – the Articulated Event Horizon
I routinely study differences in production between years by charting the data on the same graph. I consider this a popular approach. It makes sense… Read More »Organizational Distress – Cumulative Differential from Spliced Data
The Art and Science of Encrypting, Embedding and Hiding Messages in Pictures and Videos. This is related to data encryption and security. Imagine that you… Read More »Interesting Data Science Application: Steganography
Essentially good hypotheses lead decision-makers like you to new and better ways to achieve your business goals. When you need to make decisions such as… Read More »Importance of Hypothesis Testing in Quality Management
Accurate multichannel campaign attribution has stumped the online marketing industry for years. But what if the solution is to stop worrying about attribution, and move… Read More »Using ML-driven marketing optimization to solve the attribution conundrum
By David Robinson. David Robinson is a data scientist at Stack Overflow. His article (parts of it) was re-posted in the Washington Post, here. This is… Read More »Data Science Reveals Trump Tweets are Written by Two People
By Rubens Zimbres. Rubens is a Data Scientist, PhD in Business Administration, developing Machine Learning, Deep Learning, NLP and AI models using R, Python and Wolfram… Read More »140 Machine Learning Formulas
