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Mirko Krivanek
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Mirko Krivanek's Discussions

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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Mirko Krivanek's Page

Latest Activity

Vikram Dutt liked Mirko Krivanek's discussion Cheat Sheet: Data Visualisation in Python
Sep 20
Garry Jenkin liked Mirko Krivanek's blog post Sometimes outliers are real data
Sep 13
Larisa Golovko replied to Mirko Krivanek's discussion What will be the next big thing after data science?
"This is a well-developed branch of data science/statistics/mathematics - geostatistics and GIS. Since 1960ies at least. ESRI was a foundation, but now there a lot of open-source. Also most…"
Sep 9
Vishal Kapur replied to Mirko Krivanek's discussion What will be the next big thing after data science?
"I think Quantum Computing will come next by 2023, to fuel the exponential growth of AI.."
Aug 27
Mirko Krivanek's discussion was featured

What will be the next big thing after data science?

No so long ago mathematics mathematics was very popular and allowed for the computer and Internet revolution, and progress in engineering sciences. Then statistics started to gain even more popularity (general linear model) until computers became much more powerfull. We now have fewer statistic jobs, and many are related to clinical trials (small data). Designing probabilistic model is not so popular anymore - although the term has been replaced by predictive modeling.Then came data mining,…See More
Aug 24
ankit liked Mirko Krivanek's blog post Great Github list of public data sets
Jul 29
Ujae Kang replied to Mirko Krivanek's discussion What will be the next big thing after data science?
"Based on my experience by attending University of Minnesota's Financial Mathematics program, I found it very interesting to see people who excel at Mathematics struggle with either computer science or database.  I think people tend to…"
Jul 1
Derek Christensen liked Mirko Krivanek's blog post 40 Excel Tricks
May 8
Tuan Nguyen Anh liked Mirko Krivanek's blog post Great Github list of public data sets
Apr 21
Jan liked Mirko Krivanek's blog post 40 Excel Tricks
Apr 15

Profile Information

Short Bio
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 1 Comment

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 1 Comment

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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