MoData Blog

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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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July 21st, 2015

Anomaly Detection – Using Machine Learning to Detect Abnormalities in Time Series Data This post was co-authored by Vijay K Narayanan, Partner Director of Software Engineering at the Azure Machine Learning team at Microsoft. Introduction Anomaly Detection is the problem of finding patterns in data that do not conform to a model of “normal” behavior. Detecting such deviations from expected behavior in temporal data is...

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July 6th, 2015

Link to Joseph Misiti (click on this link to get to the page with the full set of hyperlinks): A curated list of awesome Machine Learning frameworks, libraries and software. - . A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php. Table of Contents C General-Purpose Machine Learning Computer Vision C++ Computer Vision General-Purpose Machine Learning Natural Language...

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July 5th, 2015

Link to Machine Learning Mastery: A tour of machine learning algorithms   After we understand the type of machine learning problem we are working with, we can think about the type of data to collect and the types of machine learning algorithms we can try. In this post we take a tour of the most popular machine learning algorithms. It is useful to tour the main...

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