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Introduction_Slides.Rmd
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Introduction_Slides.Rmd
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---
title: "The very next webinar from RStudio and this is a very long title used for introduction"
subtitle: ""
output:
xaringan::moon_reader:
css: rstudio.css
seal: true
nature:
countIncrementalSlides: yes
highlightLines: yes
highlightStyle: github
ratio: 16:9
---
```{r setup, include=FALSE}
options(htmltools.dir.version = FALSE)
library(ggplot2)
thm <- theme_bw() +
theme(
panel.background = element_rect(fill = "transparent", colour = NA),
plot.background = element_rect(fill = "transparent", colour = NA),
legend.background = element_rect(fill = "transparent", colour = NA),
legend.key = element_rect(fill = "transparent", colour = NA)
)
theme_set(thm)
```
class: rstudio-slide, left
# Let’s connect in person!
### February
- CSP 2018 - February 15th through February 17th — Portland, OR
### March
- Gartner Data & Analytics Summit - March 5th through March 8th — Grapevine, TX
- Gartner Data & Analytics Summit - March 19th through March 21st — London, UK
- Analytics & Data Summit - March 20th through March 22nd — Redwood Shores, CA - Big Data World - March 21st through March 22nd — London, UK
- ENAR - International Biometric Society - March 25th through March 28th — Atlanta, GA
- SQL Intersection - March 25th through March 28th — Orland, FL
---
class: rstudio-slide, left
# Logistics
.pull-left[
1. Webinar will be roughly 45 minutes in length.
1. We don’t expect that you will have trouble with sound, but if you do, the best solution will be to log out and reconnect.
1. RStudio will answer questions via the chat panel during and after the talk.
1. Webinar is being recorded and will be posted within 48 hours - https://www.rstudio.com/resources/webinars/
1. Slides and demo code will be hosted here: https://github.com/rstudio/webinars
Twitter - @rstudio #rstats
]
.pull-right[]
---
class: rstudio-slide, left
# Our Speaker Today
.head-shot[]
Max was a nonclinical statistician for 12 years in the pharmaceutical industry and for 6 years in the medical diagnostic industry. His degrees are in Biostatistics (Ph.D.) and Mathematics (B.S.). He has released several R packages for predictive modeling and machine learning, including caret, C50, and Cubist. He is the author of Applied Predictive Modeling (with Kjell Johnson), which has won the American Statistical Association’s Ziegel Award.
---
class: dark-gray, middle
#
---
class: rstudio-slide, left
# Download Links
### Open Source & Free Products
- Desktop: https://www.rstudio.com/products/rstudio/download/
- RStudio Server: https://www.rstudio.com/products/rstudio/download-server/
- Shiny Server: https://www.rstudio.com/products/shiny/download-server/
- shinyapps.io: https://www.shinyapps.io/admin/#/signup
### 45 Day Evaluation of Pro Products
- RStudio Server Pro: https://www.rstudio.com/products/rstudio-server-pro/evaluation/
- Shiny Server Pro: https://www.rstudio.com/products/shiny-server-pro/evaluation/
- RStudio Connect: https://www.rstudio.com/products/connect/evaluation/
- RStudio Drivers: https://www.rstudio.com/products/drivers/drivers-evaluation/
---
class: rstudio-slide, left
# Let's stay in touch
.pic-right[]
- RStudio Community - rstudio.link/community
- Developer Blog - rstudio.link/developer_blog
- R Views Blog - rstudio.link/rviews_blog
- TensorFlow Blog - rstudio.link/tensorflow_blog
- Twitter - rstudio.link/twitter
- GitHub - rstudio.link/github
- LinkedIn - rstudio.link/linkedin
- YouTube - rstudio.link/youtube
- Facebook - rstudio.link/facebook