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7/23/2017 - 4:30 PM
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List of videos from conferences related to R and Data
List of videos from conferences related to R and Data
user!2017.md
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useR! 2017
Keynotes
Teaching data science to new use
R
s
20 years of
CRAN
Structural Equation Modeling: models, software and stories
Parallel Computation in
R
: What We Want, and How We (Might) Get It
R
tools for the analysis of complex heterogeneous data
Talks
Developing and deploying large scale
Shiny
applications for non-life insurance
:+1:
Exploring and presenting maps with
tmap
Package
ggiraph
: a
ggplot2
Extension for Interactive Graphics
Spatial data in
R
:
simple features
and future perspectives
mapedit
: interactive manipulation of spatial objects
Visual funnel plot inference for meta-analysis
Implementing
R
in old economy companies: From proof-of-concept to production
Interacting with databases from Shiny
Statistics in Action with R: an educative platform
Data Carpentry: Teaching Reproducible Data Driven Discovery
Using
R
in a regulatory environment: FDA experiences
A Benchmark of Open Source Tools for Machine Learning from
R
Too good for your own good:
Shiny
prototypes out of control
Beyond Prototyping: Best practices for
R
in critical enterprise environments
Implementing Predictive Analytics projects in corporate environments
shiny.collections
: Google Docs-like live collaboration in
Shiny
A first-year undergraduate data science course
ShinyProxy
Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in
Shiny
Statistics and
R
in Forensic Genetics
RQGIS
: integrating
R
with
QGIS
for innovative geocomputing
Interfacing Google's spherical geometry library (S2) for spatial data in
R
Analysis of German Fuel Prices with
R
Scraping data with
rvest
and
purrr
Show me the errors you didn't look for
Clouds, Containers and R, towards a global hub for reproducible and collaborative data science
Automatically archiving reproducible studies with
Docker
codebookr
: Codebooks in
R
When is an Outlier an Outlier? The
O3
plot
Distributional Trees and Forests
Two-sample testing in high dimensions
Bayesian analysis of generalized linear mixed models with
JAGS
A Tidy Data Model for Natural Language Processing
Text mining, the tidy way
Untidy Text Analysis Using
R
with
quanteda
)
Neural Embeddings and NLP with
R
and
Spark
ReinforcementLearning
: A package for replicating human behavior in
R
Deep Learning for Natural Language Processing in
R
R4ML
: A Scalable R for Machine Learning
jug
: Building Web APIs for R
R Package
glmm
: Likelihood-Based Inference for Generalized Linear Mixed Models
countreg
: Tools for count data regression
MCMC Output Analysis Using R package
mcmcse
Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data with
ctmcd
EpiModel
: An R Package for Mathematical Modeling of Infectious Disease over Networks
Social contact data in endemic-epidemic models and probabilistic forecasting with
surveillance
brms
: Bayesian Multilevel Models using
Stan
Markov-Switching GARCH Models in
R
: The
MSGARCH
package
Transformation Forests
Actuarial and statistical aspects of reinsurance in
R
Interactive bullwhip effect exploration using
SCperf
and
Shiny
Ensemble packages with user friendly interface: an added value for the R community
Taking Advantage of the Byte Code Compiler
Can you keep a
secret
?
We
R
What We Ask: The Landscape of R Users on
Stack Overflow
How we built a Shiny App for 700 users?
bradio: Add data music widgets to your business intelligence dashboards
Navigating the
R
package universe
A quasi-experiment for the influence of the user interface on the acceptance of R
Lightning Talks
Room 2.01
Room 2.02
Room 3.01
Room 3.02
Room 4.01
Room 4.02
Workshop / Tutorials
data.table
for beginners I
data.table
for beginners II
Geospatial visualization using
R
I
Geospatial visualization using
R
II
Spatial data in
R
: new directions I
Spatial data in
R
: new directions II
Efficient
R
Programming I
Efficient
R
Programming II
Solving iteration problems with
purrr
I
Solving iteration problems with
purrr
II
Sports Analytics with
R
I
Sports Analytics with
R
II
Rcpp
: From Simple Examples to Machine Learning I
Rcpp
: From Simple Examples to Machine Learning II
Introduction to parallel computing with
R
I
Introduction to parallel computing with
R
II
Data Carpentry
: Open and Reproducible Research with
R
I
Data Carpentry
: Open and Reproducible Research with
R
II
Introduction to optimal changepoint detection algorithms I
Introduction to optimal changepoint detection algorithms II
Connecting
R
to the Machine Learning Platform
OpenML
I
Connecting
R
to the Machine Learning Platform
OpenML
II
Introduction to Bayesian inference with
JAGS
I
Introduction to Bayesian inference with
JAGS
II
Introduction to Natural Language Processing with
R
I
Introduction to Natural Language Processing with
R
II
Modelling the environment in R: from small-scale to global applications I
Modelling the environment in R: from small-scale to global applications II
Dose-response analysis using R I
Dose-response analysis using R II
user!2016.md
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useR! 2016
Notebooks with R Markdown
Importing modern data into R
Predicting individual treatment effects
strata.hadoop.sanjose.2017.md
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Strata Hadoop World San Jose 2017
Sparklyr: An R interface for Apache Spark
Modeling big data with R, sparklyr, and Apache Spark
Part 1
Part 2
Part 3
Part 4
Exploration and visualization of large, complex datasets with R, Hadoop, and Spark
Part 1
Part 2
Part 3
Part 4
strata.data.newyork.2017.md
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Strata Data New York 2017
Using R and Spark to analyze data on Amazon S3 - Edgar Ruiz (RStudio)
Machine learning in R - Jared Lander (Lander Analytics)
WORKSHOP
Part 1
Part 2
Part 3
Part 4
strata.data.london.2017.md
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Strata Data London 2017
Efficient R programming
Create interactive maps in seconds with R and Leaflet
Spark and R with sparklyr
Part 1
Part 2
Just enough Scala for Spark
Part 1
Part 2
shiny.conf.2017.md
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Shiny Developer Conference 2017
shiny.conf.2016.md
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Shiny Developer Conference 2016
rstudio::conf_2017.md
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RStudio Conference 2017
See also
this link
nyc.r.conf.2017.md
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New York R Conference 2017
An R Cloud Computing Lifeline: The Missing Manual for Running R on Amazon Cloud
Better Packages through Peer Review: Lessons from rOpenSci
Building a Predictive Early Intervention System to Prevent Adverse Police Incidents
Don't Let Lawyers Ruin Your Analytics
Enabling reproducibility at scale with R and Pachyderm
Experience R in the Cloud: Empower Insurance Operations from Insights to Action
Fine Grained Visual Category Recognition and Perceptual Embedding
From Agreeing to Marching to Organizing: OSS Needs You
Fun with R
Harnessing the Power of JavaScript for Data Science
How R Helps Airbnb Make the Most of Its Data
Live Tweeting: Qualitative and Quantitative Advice
Publication Hacking: How We Answered a Research Question and Wrote a Manuscript in Only Two Days
R in Financial Services: Challenges and Opportunities
R Makes the World Go ‘Round: Data Driven Decision Making at JetBlue
R: From Backend to Production
RStudio Tips and Tricks
So You Want to be a Data Scientist?
Text Mining, the Tidy Way
The Humble Programmer Data Scientist: Essence and Accident in Software Engineering Data Science
The Unreasonable Effectiveness of Empathy - The killer skill needed for a successful technical career
Theoretical Statistics is the Theory of Applied Statistics: How to Think About What We Do
Things about the Future and the Future of Things
threejs: less cruft, more awesome!
Towards Interoperable Data Frames
Using Human Mobility Data to Assess Public Circulation Health
We R What We Ask: The Landscape of R Users on Stack Overflow
nyc.r.conf.2016.md
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New York R Conference 2016
A Statistician Walks into a Tech Company: R at a Rapidly Scaling Healthcare Startup
An Economic Research Platform using R, Semantic Technologies, and Lambda Architecture
Analyzing NYC Transit Data
Behavior Quantified
Broom: Converting Statistical Models to Tidy Data Frames
Building Scalable Prediction Services in R
Complementary Recommendations at eBay: Tackling the Challenges of a Semi-Unstructured
Data Science Challenges in Personal Program Analysis
Gadgets, Addins, and HTML Templates
High-Performance Python
Improving Data Interoperability for Python and R
Iterating Over Statistical Models: NCAA Tournament Edition
Notebooks (and more) with R Markdown
One Algorithm to Rule Them All: How to Automate Statistical Computation
R for Everything
R Packages for Time-Varying Networks and Extremal Dependence
RCloud - Collaborative Environment for Visualization and Big Data Analytics
Reflection on the Data Science Profession
Scaling Data Science at Airbnb
Testing Your Data and Code in R
The Feels
The Political Impact of Social Penumbras
Thinking Small About Big Data
Using R at NYT Graphics
What do Authors, Neurons, and Enterprise Suppliers Have in Common?
What We Learned Building an R-Python Hybrid Predictive Analytics Pipeline
nyc.r.conf.2015.md
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New York R Conference 2015
Alternative Data in Institutional Investing: Common Problems Solved with R
But When You Call Me Bayesian, I Know I’m Not the Only One
Dashboarding with Shiny
Data Analysis with Julia & R
DataFrames: The Good, Bad, and Ugly
David & Goliath
Engagement & Reality
Hiring by Human / Machine Learing
htmlwidgets
Interactive Ebola Plots in Shiny
Leveraging RHadoop in Analyzing Multiple Myeloma Patient Timelines
Making R Go Faster and Bigger
No One Knows What It's Like to Be the Bad Man: The Development Process for the Caret Package
Practical Principles for Scalable Statistical Analysis
R for Every Survey Analysis
Reproducible Analysis in Production: Lessons from Etsy
Reproducible Data Analysis with Revolution R Open
Software Architecture and Predictive Models in R
Storytelling with Data Visualizations
The Data Perspective
Visualizing Livability in NYC
earl.london.2015.md
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EARL London 2015
R-finance.md
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R/Finance 2017
No-Bullshit Data Science
Detecting Fraud at 1 Million Transactions per Second
Risk Fast and Slow
Reproducible Finance with
R
: A Global ETF Map
Markov-Switching GARCH Models in
R
: The
MSGARCH
Package
Scenario Analysis of Risk Parity using
RcppParallel
Efficient, Consistent and Flexible Credit Default Simulation
+
Machine Learning and the Analysis of Consumer Lending
MLEMVD
: An
R
Package for Maximum Likelihood Estimation of Multivariate Diffusion Models
Forecasting Performance of Markov-Switching
GARCH
Models: A Large-Scale Empirical Study
Revealing High-Frequency Trading Provisions of Liquidity with Visualization in
R
Equity Factor Portfolio Case Study
R
package
mcrp
: Multiple criteria risk contribution optimization
A Bayesian Multivariate Functional Dynamic Linear Model
Syberia
: A development framework for R
yuimaGUI
: A graphical user interface for the
yuima
package
Lightning Talks I (Day 1)
Lightning Talks II (Day 1)
Lightning Talks III (Day 1)
Lightning Talks I (Day 2)
Closing Sessions: Matt Dancho (
tidyquant
), Leonardo Silvestri (
ztsdb
)
Closing Session: Bryon Lewis - Project and Conquer
!R_conferences.md
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New York
R
Conference 2017
New York
R
Conference 2016
New York
R
Conference 2015
R
/Finance 2017
RStudio Conference 2017
Shiny
Developer Conference 2017
Shiny
Developer Conference 2016
Strata Data London 2017
Strata Data New York 2017
Strata
Hadoop
World San Jose 2017
use
R
! 2017
use
R
! 2016
clear