Fifteen Years of Data Science in NY at the 2024 New York R Conference

Mapping Large Data at the 2023 R in Government and Public Sector Conference

Model Shootout at the 2023 Data, Design, Development and Discovery Conference

Building an R Package with LLMs at the 2023 New York R Conference

Deploying R in a Secure Environment at the 2022 R in Government and Public Sector Conference

GIS in R at the 2022 New York R Conference

Using {targets}, {arrow}, Docker, Postgres and the Command Line for Medium Data at the 2021 Government and Public Sector R Conference

GPU Computing with R at the 2021 R Conference | New York and AI2027

Get to Know Your Algorithms at the Department of Homeland Security and FDA (updated)

Taking R from Hours to Seconds at the 2020 R in Government Conference

Finding the Tallest Tree at the 2020 R Conference | New York

Applying R at Work at e-Rum 2020

Visualizing Models (Version 3) at Newcastle Upon Tyne Data Science Meetup

Raising Baby With R at the 2019 Washington DC R Conference

R: Then and Now at the 2019 New York R Conference and RStudio Conference 2020

Making Sense of AI at DataFest 2019 and ODSC India 2019

Text Mining at the NHL

Many Ways to Lasso at the 2018 Washington DC R Conference, AI NEXTCon 2019 and Data Science SG

Parallel Computing in R at Arconic Briefing and R-Ladies NYC

Deep Learning vs Machine Learning in R at the 2018 New York R Conference and the Tampa R Meetup

AI and Deep Learning in R at Nvidia GTC San Jose 2018

Time Series in R at Influx Days San Francisco, Strata London 2018 and Strata New York 2018

The State of Data Science at the Finra Create-a-thon

The Future is Data and AI at Microsoft Inspire 2017

Feedforward Networks in R for Amazon Web Services Webinar Series

Fun with R at the 2017 New York R Conference

Scraping and Analyzing NFL Data with R at the 2017 MIT Sloan Sports Analytics Conference (takes a long time to load)

R for Everything at the 2016 New York R ConferenceEarl Boston 2016Data Science DC, West Point Military AcademyLondonR, DataScience SG, NZSA 2017 and Data Day Texas 2018.

Analyzing Play-by-Play Data at the MIT Sloan Sports Analytics ConferenceColumbia Business School, Strata Singapore 2016 and West Point Military Academy

Scoring Sales Leads at the Data Science NYC meetup and Data Science SG

Bayesian Regression at the Bay Area R User Group

Data Science in Practice at eBay Israel

Lasso for Everyone at Data Engineering Conference and the Singapore R Meetup

Visualizing Models (updated) at EARL Boston

Making R Go Faster and Bigger at The NY R Conference, ODSC Boston 2015, the Pittsburgh R Meetup, the Austin R Meetup and Strata Singapore 2017

Reducing Uncertainty with Bayesian and Penalized Regression at PyData NYC 2014

Confidence in the Lasso at PyGotham 2014 and Data Science DC

Backends for Big Data in R at the Big Data in Quantitative Finance conference

R for Machine Learning at Goldman Sachs and eBay NY

Portfolio Optimization and Bayesian Regression at the For Python Quants conference

Visualizing Models presented at the New York Python meetup

Introduction to R and Regularization presented at Big Data & Data Science – Israel

Anomaly Detection in R presented at Tibco Financial Conference

Python & R presented at Python in Finance

New York City vs Silicon Valley Data presented to amst-R-dam

Poisson Regression using Pizza Data at Cornell NYC Tech, Technion Institute and the Cleveland R Meetup (Markdown Code)

Simple ggplot2 Tutorial delivered at Gilt (Markdown Code)

Building Packages for R delivered at The Connecticut R User Group (Markdown Code)

An Introduction to Multilevel Models with Harlan Harris for the New York Predictive Analytics Meetup (PowerPoint PresentationR Code)

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Jared Lander is the Chief Data Scientist of Lander Analytics a New York data science firm, Adjunct Professor at Columbia University, Organizer of the New York Open Statistical Programming meetup and the New York and Washington DC R Conferences and author of R for Everyone.