Emmanuelle Rieuf's Blog – July 2016 Archive (9)

Learning Python For Data Science

For those of you who wish to begin learning Python for Data Science, here is a list of various resources that will get you up and running. Included are things like online tutorials and short interactive course, MOOCs, newsletters, books, useful tools and more.

Python Tips decided to put this together so that you can…


Added by Emmanuelle Rieuf on July 31, 2016 at 12:00pm — 7 Comments

An example machine learning notebook

This notebook was written by Dr. Randal S. Olson from GitHub. In this notebook, Randal is going to go over a basic Python data analysis pipeline from start to finish to show you what a typical data science workflow looks like. In addition to providing code examples, he also hopes to imbue in you a sense of good practices so you can be a more effective — and more collaborative — data scientist. Randal will be following along with the data analysis checklist from …


Added by Emmanuelle Rieuf on July 29, 2016 at 3:30pm — No Comments

Ten simple rules to use statistics effectively

Under growing pressure to report accurate findings as they interpret increasingly larger amounts of data, researchers are finding it more important than ever to follow sound statistical practices. 

For that reason, a team of statisticians including Carnegie Mellon University's Robert E. Kass wrote "Ten Simple Rules for Effective Statistical Practice." Published in PLOS…


Added by Emmanuelle Rieuf on July 28, 2016 at 5:00pm — No Comments

DataViZ, Data Science and Machine Learning White Papers - Part 4

Here are some white papers about Tamr, Lavastorm, Teradata, Rapidminer, Looker, Thingworx, and DataRobot :



Added by Emmanuelle Rieuf on July 28, 2016 at 3:30pm — No Comments

Book: Effective Data Visualization: The Right Chart for the Right Data

Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualizationshows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints—supported by research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the…


Added by Emmanuelle Rieuf on July 27, 2016 at 7:00am — No Comments

List of 50+ Machine Learning APIs

This article was posted on Mashape by Chris Ismael. Chris is a developer evangelist with proven success and experience in technical evangelism, business development, and software development in the mobile industry. Wikipedia defines Machine Learning as “a branch of artificial intelligence that deals with the construction and study of…

Added by Emmanuelle Rieuf on July 24, 2016 at 11:30am — No Comments

Distributed Machine Learning with Apache Mahout

This article introduces Mahout, a library for scalable machine learning, and studies potential applications through two Mahout projects. It was written by Linda Terlouw. Linda is a computer scientist who works on Data Science (Data Analysis, Data Visualization, Process Mining).



Added by Emmanuelle Rieuf on July 8, 2016 at 4:47am — No Comments

What is in a Name? A Data Scientist by any other name

This article was written by Bhavani Raskutti. Bhavani joined the ANZ Teradata Advanced Analytics team in 2014. She is internationally recognised as a data mining thought leader and is regularly invited to present at international conferences on Mining Big Data. She is passionate about transforming businesses to make better decisions using their data capital.

The term “data science” was first used by the statistician William H. Cleveland in his 2001 paper entitled, “…


Added by Emmanuelle Rieuf on July 2, 2016 at 11:30pm — No Comments

100 Burritos in San Diego: 10-dimensional rating system

This article on the 10-dimensional burrito was posted by Scott Cole. Scott is a PhD student studying neuroscience at UC San Diego, currently researching the functions and measures of neural oscillations in the Voytek lab.

In his work, Scott and his team have developed a 10-dimensional system for rating the burritos…


Added by Emmanuelle Rieuf on July 2, 2016 at 11:26pm — No Comments

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