Analyze 2016 World Chess Championship

Editor: Pachyderm is officially described as a “data lake that offers complete version control for data and leverages the container ecosystem to provide reproducible data processing”. In simpler language, it is an application that makes it easy to store and analyze big data using containers. The following article was originally written by Daniel Whitenack, a data scientist at Pachyderm

It’s no secret that the Pachyderm team loves chess! In fact, one of our first demonstrations of Pachyderm was a statistical analysis of chess blunders. Now, with the 2016 world chess championship decided, we have updated our analysis and see what we could learn about the matches between Magnus Carlsen and Sergey Karjakin.

Related Post:  Big Data & AI Conference Dallas 2019

In the following analyses, which were implemented in a Pachyderm data pipeline, we attempted to learn:

  • For each game in the Championship, what were the crucial moments that turned the tide for one player or the other, and
  • Did the players noticeably fatigue throughout the Championship as evidenced by blunders?
Related Post:  How to write the first for loop in R

We chose to run these analyses in Pachyderm, because they necessitated the use a variety of technologies (Pachyderm is language agnostic), and it allowed us to quickly and easily commit new game data, which triggered automatic updates to our analyses. Read more about Pachyderm pipelines on the Pachyderm website and visit our pipeline docs to learn how to run your own analyses in Pachyderm.

Continue reading.

Analyze 2016 World Chess Championship

Share:

Share on facebook
Facebook
Share on twitter
Twitter
Share on pinterest
Pinterest
Share on linkedin
LinkedIn

Hola! Did you notice that LinuxBSDos.com no longer runs network ads?  Yep, no more ads from the usual suspects that track you across the Internet.  But since  I still need to pay to keep the site running, feel free to make a small donation by PayPal.

Subscribe for updates. Trust me, no spam!

Mailchimp Signup Form

Sponsored links

1. Attend Algorithm Conference, a top AI and ML event for 2020.
2. Reasons to use control panel for your server.
3. DHgate Computers Electronics, Cell Phones & more.

Leave a Reply

Your email address will not be published. Required fields are marked *

Get the latest

On social media
Via my newsletter
Mailchimp Signup Form

Sponsored links

1. Attend Algorithm Conference, a top AI and ML event for 2020.
2. Reasons to use control panel for your server.
3. DHgate Computers Electronics, Cell Phones & more.
Hacking, pentesting distributions

Linux Distributions for Hacking

Experts use these Linux distributions for hacking, digital forensics, and pentesting.

Categories
Archives

The authors of these books are confirmed to speak during

Algorithm Conference

T-minus AI

Author was the first chairperson of AI for the U.S. Air Force.

The case for killer robots

Author is the Director of the Center for Natural and Artificial Intelligence.

Why greatness cannot be planned

Author works on AI safety as a Senior Research Scientist at Uber AI Labs.

Anastasia Marchenkova

An invitation from Anastasia Marchenkova

Hya, after stints as a quantum researcher at Georgia Tech Quantum Optics & Quantum Telecom Lab, and the University of Maryland Joint Quantum Institute, I’m now working on superconducting qubit quantum processors at Bleximo. I’ll be speaking during Algorithm Conference in Austin, Texas, July 16 – 18, 2020. Meet me there and let’s chat about progress and hype in quantum computing.