MoData Blog

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May 23rd, 2016

Link to: 3 data lessons from Netflix on Data Driven Journalism Netflix knows what we like to watch, when, for how long, and a whole lot more. Whenever we select a program, the system recalibrates its data to personalize our experience. And again with each session. Within this, Netflix applies a myriad of cool data techniques, and many of the challenges and decisions behind their...

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May 18th, 2016

Where and how we look affects what we see. Big data offers us a window on the world. But large and easily available datasets may not show us the world we live in. For instance, epidemiological models of the recent Ebola epidemic in West Africa using big data consistently overestimated the risk of the disease’s spread and underestimated the local initiatives that played a critical...

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April 9th, 2016

Analytics. Their purpose is to surface insights that help you manage and grow your business. The casual observer might think that all analytics are created equally; they aren’t. There’s a spectrum, with some more powerful than others. Below are four important categories of analytics – each more powerful than the next. Descriptive Analytics When you track data like email opens, clicks, and replies, you’re surfacing...

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February 2nd, 2016

Link to Inference.vc http://www.inference.vc/deep-learning-is-easy/ Caveat: This post is meant address people who are completely new to deep learning and are planning an entry into this field. The intention is to help them think critically about the complexity of the field, and to help them tell apart things that are trivial from things that are really hard. As I wrote and published this article, I realised it...

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October 30th, 2015

Link to Data Science Central: 3 Effortless Tactics to Be a Data Science Success in Business "Move out of the way – I am ready to model.” That is the typical sentiment of a Data Science team when given a business problem. However, in the context of a dynamic business, things are not that simple; instead, business needs require that the Data Science team be...

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October 12th, 2015

SpreadCoin, a cryptocurrency, has released a “Proof of Bitcoin Node” (PoBN) that proposes using the block chain to fund bitcoin miners and pay anyone wishing to operate a full bitcoin node by reinventing bitcoin mining into Big Data mining. According to a recently-released white paper, the PoBN will help create a block chain Big Data market that will generate billions of dollars and support a secure,...

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September 6th, 2015

Link to Seravo blog: 10 Reasons to Migrate to #MariaDB if you're still on #MySQL The original MySQL was created by a Finnish/Swedish company, MySQL AB, founded by David Axmark, Allan Larsson and Michael “Monty” Widenius. The first version of MySQL appeared in 1995. It was initially created for personal usage but in a few years evolved into a enterprise grade database and it became the...

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August 30th, 2015

Another Quora question that I answered recently: What is the difference between Data Analytics, Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data? and I felt it deserved a more business like description because the question showed enough confusion. This is pretty understandable given the amount of hype out there and all the different messaging from vendors, consultants and analysts.  First things first, doing...

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