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Mirko Krivanek
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Great Machine Learning Infographics

Started Aug 9, 2015 0 Replies

Originally posted by Shivon Zillis (Bloomber beta investor) at For other related…Continue

Getting blacklisted for hosting a public analytic service on AWS

Started Aug 2, 2015 0 Replies

AWS - Amazon Web Services - allows you to deploy your analytic app or API on the cloud, and make it public. However, if you are co-located on a shared server and your "neighbors" are criminals…Continue

When is Python faster than R?

Started this discussion. Last reply by Chintan Donda Nov 19, 2015. 1 Reply

Has anyone performed tests to compare computation times for different data science algorithms on different platforms? Or for sorting, merging, joins, hash table management, and other database…Continue

Interesting new type of chart: obesochart

Started this discussion. Last reply by Max Galka Jul 3, 2015. 2 Replies

I made up the name obesochart, but found the chart in question in this news outlet. A few more, and…Continue

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Business data scientist interested in big data, predictive modeling, time series and algorithms.

Mirko Krivanek's Blog

38 Seminal Articles Every Data Scientist Should Read

Posted on August 9, 2015 at 8:30am 0 Comments

Here is selection containing both external and internal papers, focusing on various technical aspects of data science and big data. Feel free to add your favorites.

Complex Open Text Analysis: Source: …


18 Open Source NoSQL Databases

Posted on August 6, 2015 at 2:30pm 0 Comments

Interesting article posted here. I've listed some of the most popular below. To find out about those not listed here (Redis, REVENDB, Riak, Perst, Voldemort, Terrastore, NeoDatis, MyOODB, OrientDB, InfoGrid, DB4objects), read the original article.…


20 Big Data Repositories You Should Check Out

Posted on August 4, 2015 at 2:30pm 0 Comments

This is an interesting listing created by Bernard Marr. I would add the following great sources:


Ingredients Of Data Science

Posted on August 2, 2015 at 8:30am 0 Comments

Guest blog post.

After reading many blog posts, articles and books, I have collected ingredients of data science! Moreover, I've classified them with a purpose of easily making a cook named as data science with below lists for whom wants to construct own career road map! Maybe, you wonder "why I am not giving the recipes of it" is because I do not have any real life experience.        …


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