Yesterday in Data Science – 20th March 2017

MilanoR is a free event, open to all R users and enthusiasts or those who wish to learn more about R. The meeting consists of two talks (this time one about big data and and one about statistical learning) + a free buffet and networking time
The post 8th MilanoR Meeting: April 5th appeared first on MilanoR.
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I found recently, that in addition to a great list of cheatsheets designed by RStudio, one can also download a template for new cheatsheets from RStudio Cheat Sheets webpage. With this template you can design your own cheatsheet, and submit it to the collection of Contributed Cheatsheets (Garrett Grolemund will help to improve the submission … Czytaj dalej DIY – cheat sheets
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Like I mentioned in my last blog post, I am contributing to a session at userR 2017 this coming July that will focus on discovering and learning about R packages. This is an increasingly important issue for R users as we all decide which of the 10,000+…
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Our book Practical Data Science with R has just been reviewed in Association for Computing Machinery Special Interest Group on Algorithms and Computation Theory (ACM SIGACT) News by Dr. Allan M. Miller (U.C. Berkeley)! The book is half off at Manning form March 21st 2017 using the following code (please share/Tweet): Deal of the Day … Continue reading Practical Data Science with R: ACM SIGACT News Book Review and Discount!
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A story about one of the retail chains (J.C. Penny) releasing their list of stores closing in 2017 crossed paths with my Feedly reading list today and jogged my memory that there were a number of chains closing many of their doors this year, and I wanted to see the impact that might have on… Continue reading →
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The plotly R package will soon release version 4.6.0 which includes new features that are over a year in the making. The NEWS file lists all the new features and changes. This webinar highlights the most important new features including animations and multiple linked views. Concrete examples with code that you can run yourself will […]
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Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We will work with a health related […]
Related exercise sets:Data Science for Doctors – Part 4 : Inferential Statistics (1/5)
Data Science for Doctors – Part 2 : Descriptive Statistics
Data Science for Doctors – Part 3 : Distributions
Explore all our (>1000) R exercisesFind an R course using our R Course Finder directory
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