20 Great Blogs Posted in the last 12 Months
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published.… Read More »20 Great Blogs Posted in the last 12 Months
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Deep Learning and Recommenders
Summary: In this last article in our series on recommenders we look to the future to see how the rapidly emerging capabilities of Deep Learning… Read More »Deep Learning and Recommenders
Stepping back from "Big data" and into "Mesoscale data science"
Hot topics like “big data”, “machine learning”, “data science” are now dominating in the scientific community. In the past 10 years alone, data availability has… Read More »Stepping back from "Big data" and into "Mesoscale data science"
Deep Learning (DL) versus Analysis Learning (AL)
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)
Big Data Science: Expectations vs. Reality
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
Tutorial: Neutralizing Outliers in Any Dimension
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
Differential Spectrum – the Articulated Event Horizon
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
Organizational Distress – Cumulative Differential from Spliced Data
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
Interesting Data Science Application: Steganography
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
Importance of Hypothesis Testing in Quality Management
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