What do mathematicians mean by good math and bad math?
This is a popular question recently posted on Quora, with my answer viewed more than 8,000 times so far. I am re-posting it here. This post is much more detailed than my ...
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How to prove it in math: why deeper decision trees will never have higher expected cross entropy?
What I discussed here is not only the math derivation which has usually been ignored in decision tree, but also the following question: what does the cross-entropy really...
AI with Pyramids of Self Programmable Gates
Guest blog post by David Enríquez Arriano. For more information or to get higher pictures resolution, contact the author (see contact information at the bottom of this a...
An ML Framework
A machine learning solution can be broadly divided into 3 parts. A typical ML exercise would involve experimentation and iteration of all the 3 parts together and/or 1 of...
Data Translators: Those Who Ensure Analysis Is Not Lost In Rendition
A few days ago, while discussing with colleagues why many organizations were still fumbling at what’s typically called the “last mile” in data science, the conversa...
15 Amazing Infographics and Other Visual Tutorials
They come in various shapes: infographics, cheat sheets, periodic tables, one-picture articles, and even maps. They cover everything: IoT, AI, machine learning, data scie...
Technology has to follow your data strategy
Knowledge is power With IDC estimating that the data mountain has now reached five zettabytes, it is not a case of a business not having enough data to make business deci...
The one critical skill many data scientists are missing
This article was written by Emma Walker. Emma is a data scientist at Qriously. When I started to learn about data science and consider it as a career choice, there was a...
Paradox Regarding Random (Normal) Numbers
I am investigating if some numbers like Pi or SQRT(2) are normal in base 2 or 10, that is, whether any sequence of digits appear with the expected frequency in their deci...
Optimization techniques: Finding maxima and minima
In the last post, we talked about how to estimate the coefficients or weights of linear regression. We estimated weights which give the minimum error. Essentially it is a...