Kaggle and the Future of Data Science

Survival analysis. Speeding up package installation. Data science salary trends. Docker for data science.  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  [DataCamp](  ISSUE #45 — MAY 1, 2018  [DataCamp Weekly]( DataCamp Weekly Hi there - before getting into this week’s top posts, we’re announcing a big episode (number 20!) of DataFramed titled [Kaggle and the Future of Data Science](. Anthony Goldbloom, CEO of Kaggle, speaks with Hugo about Kaggle, data science communities, reproducible data science, machine learning competitions and the future of data science in the cloud. Check it out! Below, you’ll find posts & tutorials about survival analysis in R, data science salary trends, docker for data science, and more. Enjoy!  Community Top Posts  [1]( [Semantic dashboard - new open source R Shiny package](  SHINY  |  Posted by karolinadziamska  [Upvotes]( 10 Announcing the release of a new open source package: semantic.dashboard. Now you can easily upgrade your shinydashboard look using Semantic UI elements.  [2]( [3 Data Science Salary Trends to Watch in 2018](  CAREER  |  Posted by lindaburtch  [Upvotes]( 6 An excerpt from Burtch Works' upcoming data science salary study with several developing data science salary trends to keep an eye on in 2018.  [3]( [Speeding Up Package Installation in R](  R PROGRAMMING  |  Posted by theo  [Upvotes]( 6 Want to know how to easily improve your package installation time in R? This blog post will show you how.  [4]( [Survival Analysis in R For Beginners](  STATISTICAL MODELING  |  Posted by DanielSchuette  [Upvotes]( 5 In this tutorial, you'll learn about the statistical concepts behind survival analysis and you'll implement a real-world application of these methods in R.  [5]( [LEGO mosaics from photos using R & the tidyverse](  TIDYVERSE  |  Posted by timpe  [Upvotes]( 5 Instructions for turning any photo into a LEGO mosaic using R and the tidyverse.  [6]( [The Continuum of Understanding and Information Visualization](  DATA VISUALIZATION  |  Posted by clovis  [Upvotes]( 4 Information visualization is a process by which data (or information) is represented to help the recipient of the information to build an accurate representation of it in their mind. It is most common for information visualization to be constructed graphically (e.g. to facilitate visual understanding).  [7]( [Artificial Intelligence - The Revolution Hasn't Happened Yet](  AI  |  Posted by burcukaniskan  [Upvotes]( 4 Michael I. Jordan is a Professor in the Department of Electrical Engineering and Computer Sciences and the Department of Statistics at UC Berkeley: "there is no such thing as an artificial intelligence revolution yet."  [8]( [Enough Docker to Be Dangerous](  R PROGAMMING  |  Posted by karlijn  [Upvotes]( 3 A comprehensive blog post about Docker basics, Docker for data science and further reading. Great place to start for Docker beginners!   [DataCamp Community]( BY THE COMMUNITY, FOR THE COMMUNITY [Discover](  That's all for now. Have a great week!   [DataCamp](  DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118  [Facebook]( [Twitter]( [LinkedIn]( [Instagram]( [YouTube](  [Download on the App Store]( [Get it on Google Play](  [Unsubscribe]( Â