3 Pillars of GDPR Compliance
The Forrester report “Predictions 2018: A year of reckoning” predicted that 80% of firms affected by the GDPR will not be able to comply with the regulation by the ti...
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Articulate – Open source platform for build conversational interfaces with intelligent agents
Articulate is an open source project that will allow you to take control of you conversational interfaces, without being worried where and how your data is stored. Also, ...
ff and Too-Big-for-Memory Data in R — Part III
After my last blog on the use of relational databases PostgreSQL and MonetDB to help compensate for R’s RAM limitations, I received an email from a reader who ask...
Free Book: Applied Stochastic Processes
Full title: Applied Stochastic Processes, Chaos Modeling, and Probabilistic Properties of Numeration Systems. An alternative title is Organized Chaos. Published June 2, 2...
Fugues of Operational Market Alignment
In the “Ecology of Metrics,” I wrote about “alignment” being a type of metric; alignment can measure the extent to which an organization’s supply or capacity is...
Why choose Apache Spark over Hadoop for your Big Data project?
When the first release of Spark became available in 2014, Hadoop had already enjoyed several years of growth since 2009 onwards in the commercial space. Although Hadoop s...
How Mobile AI Will Transform Our Lives
The age of Artificial Intelligence (AI) is almost upon us. Rapid developments in machine learning have allowed us to build better, smarter machines that are capable of ma...
Steps required before adopting AI & Cognitive Computing platform
Enterprises are learning fast about the relevance and use of AI and Cognitive Computing platforms. Before adopting AI and Cognitive Computing platforms, enterprises must ...
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 ...
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...