Friday, August 24, 2018

Tutorials 2018

Last update: Friday 8/24/18
DLL Editor's note -- The links on this page are to memorable articles that provide introductory tutorials about technologies of increasing importance. The links will only remain on this page until one year after the original publication date for the linked tutorial. Readers' suggestions (via "comments") for other recent tutorials will be greatly appreciated. 





The links are grouped into subject categories. Links to the most recent articles will be placed at the top of each category; old links will be deleted from the bottom. Most of the better articles will contain references to more advanced discussions for readers who want to learn more about a topic.

FinTech, block chain, bitcoin 
  1. "On the blockchain” is basically the new “Uber, but for.” Which means if you haven't learned what it is yet, now's the time. Presenting the WIRED Guide to the blockchain
  1. Are you as confused about blockchains as I am? We created a series of articles that help explain what it is, and why it'll be part of our future via
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Quantum computing ...
  1. What is quantum computing? We put together everything you ever wanted to know about qbits, superpositioning, and spooky action at a distance.
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Artificial Intelligence, machine learning, deep learning, bots, robotics ...
  1. What is artificial general intelligence? Here's everything you need to know
  1. The guide to , including moments that shaped AI, and decoding AI terms
  1. Little, big, humanoid, squishy, dog-like—robots come in all shapes and sizes. The WIRED Guide to robots is here for all of your automaton-related queries ... https://t.co/fCoAJDBL0l
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Analytics ... Big data, statistical learning, data science ...



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Cybersecurity, privacy, & cybercrime ...


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Coding ...

  1. This week's winner uses Local Interpretable Model-Agnostic Explanations (LIME) to better understand the predictions of an ML model:
  1. New Tutorial: Tidy Analysis of Pew Research Data Using R! Learn how to access data from the Pew Research Center, load it into R & then how to explore the data using the Tidyverse ecosystem.
  1. The ultimate peer-to-peer guide on getting started with our competitions, written by Kaggler, . ... https://t.co/6R4INgkQLd
  1. New Kaggle documentation! We’re *very* impressed with what you’ve been able to accomplish without this so far. ;) At long last, here is some light reading on how to use Kernels.




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