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Lander Analytics
США
Добавлен 16 авг 2016
Learn & have fun! Statistical programming techniques in open-source languages such as R, Python, Julia and Go & data science in general.
Videos from the annual New York R Conferences & Government & Public Sector R Conferences hosted by Lander Analytics (rstats.ai) and monthly videos from the New York Open Statistical Programming Meetup (nyhackr.org)
Lander Analytics is a full-service consulting firm based in New York City helping clients enhance their analytical capabilities to drive value from data. Led by Chief Data Scientist Jared Lander, our team of elite data scientists, statisticians, visual designers, published authors, professors, keynote speakers & management consultants are united by our shared talent and passion for leveraging data science to meet real world challenges. Collectively, Lander Analytics is a recognized leader in the open source data community, hosting events like the popular annual R conferences in NYC & DC! (www.landeranalytics.com)
Videos from the annual New York R Conferences & Government & Public Sector R Conferences hosted by Lander Analytics (rstats.ai) and monthly videos from the New York Open Statistical Programming Meetup (nyhackr.org)
Lander Analytics is a full-service consulting firm based in New York City helping clients enhance their analytical capabilities to drive value from data. Led by Chief Data Scientist Jared Lander, our team of elite data scientists, statisticians, visual designers, published authors, professors, keynote speakers & management consultants are united by our shared talent and passion for leveraging data science to meet real world challenges. Collectively, Lander Analytics is a recognized leader in the open source data community, hosting events like the popular annual R conferences in NYC & DC! (www.landeranalytics.com)
Alan Feder - The Good, the Bad & the Shiny: A Data Scientist's Guide to Choosing Python Web App FWKs
For information on upcoming conferences, visit www.rstats.ai.
The Good, the Bad, and the Shiny: A Data Scientist's Guide to Choosing Python Web App Frameworks by Alan Feber
Presentation Slides: rstatsnyc.blob.core.windows.net/misc/The-Good-the-Bad-and-the-Shiny-A-Data-Scientists-Guide-to-Choosing-Python-Web-App-Frameworks_Alan-Feder.pdf
Abstract: Shiny has long been the go-to for data scientists creating web applications in R, but Python offers a plethora of alternatives that can be overwhelming to choose from. This talk will demonstrate the creation of a single application using three popular Python tools: PyShiny, Streamlit, and Gradio. We'll explore the strengths and weaknesses of each fr...
The Good, the Bad, and the Shiny: A Data Scientist's Guide to Choosing Python Web App Frameworks by Alan Feber
Presentation Slides: rstatsnyc.blob.core.windows.net/misc/The-Good-the-Bad-and-the-Shiny-A-Data-Scientists-Guide-to-Choosing-Python-Web-App-Frameworks_Alan-Feder.pdf
Abstract: Shiny has long been the go-to for data scientists creating web applications in R, but Python offers a plethora of alternatives that can be overwhelming to choose from. This talk will demonstrate the creation of a single application using three popular Python tools: PyShiny, Streamlit, and Gradio. We'll explore the strengths and weaknesses of each fr...
Просмотров: 84
Видео
Alex Gurvich - Using Visual Perception to Find Patterns in Data and Drive Insight
Просмотров 116Месяц назад
For information on upcoming conferences, visit www.rstats.ai. Using Visual Perception to Find Patterns in Data and Drive Insight by Alex Gurvich Presentation Slides: rstatsnyc.blob.core.windows.net/misc/Using-Visual-Perception-to-Find-Patterns-in-Data-and-Drive-Insight_Alex-Gurvich.pdf Abstract: At the Data Visualization Society’s 2024 Outlier conference, communications and cognitive science re...
Tyler Morgan-Wall - Quarto, AI, and the Art of Getting Your Life Back
Просмотров 105Месяц назад
For information on upcoming conferences, visit www.rstats.ai. Quarto, AI, and the Art of Getting Your Life Back by Tyler Morgan-Wall Abstract: Tired of endless server issues and maintenance headaches? Want to reclaim your time for coding, writing, and creating? Join me as I share my journey of switching from the server-based headaches of Wordpress to Quarto, with a little help from AI. In this ...
Travis Riddle - Who Are Your Consumers? Understanding Selection Bias Into Government Programs
Просмотров 43Месяц назад
For information on upcoming conferences, visit www.rstats.ai. Who Are Your Consumers? Understanding Selection Bias Into Government Programs by Travis Riddle Presentation Slides: rstatsnyc.blob.core.windows.net/misc/Who_Are_Your_Consumers_Understanding_Selection_Bias_Into_Government_Programs-Travis_Riddle.pdf Abstract: Many government programs and initiatives serve an unknown subset of the popul...
Tommy Jones -Detecting Automotive Quality & Safety Issues from Consumer Complaints
Просмотров 48Месяц назад
For information on upcoming conferences, visit www.rstats.ai. Detecting Automotive Quality & Safety Issues from Consumer Complaints by Tommy Jones Abstract: 70% of the cars on the road are between 6 and 14 years old. Most aren't equipped with sensors allowing manufacturers, regulators, and the public to see when a vehicle platform develops a quality issue, but owners do complain about their car...
Rachel Gidaro - An Introduction to Estimation and Comparison of Discrete Variate Time Processes
Просмотров 36Месяц назад
For information on upcoming conferences, visit www.rstats.ai. An Introduction to Estimation and Comparison of Discrete Variate Time Processes by Rachel Gidaro Presentation Slides: rstatsnyc.blob.core.windows.net/misc/An-Introduction-to-Estimation-and-Comparison-of-Discrete-Variate-Time-Processes_Rachel-Gidaro.pdf Abstract: This talk delves into the parameter estimation of discrete time series, ...
Princess Onyiri & Brittany Long - SEC Board Diversity Reqs.: Are NASDAQ Co. Disclosing Their Data?
Просмотров 39Месяц назад
For information on upcoming conferences, visit www.rstats.ai. SEC Board Diversity Requirements: Are NASDAQ Companies Disclosing Their Data? by Princess Onyiri & Brittany Long Presentation Slides: rstatsnyc.blob.core.windows.net/misc/SEC-Board-Diversity-Requirements-Are-NASDAQ-Companies-Disclosing-Their-Data_Princess-Onyiri_Brittany-Long.pdf Abstract: In 2021, the US Securities and Exchange Comm...
Laura Gast - Making Things Difficult: The Role of Disfluency in Science Communication
Просмотров 33Месяц назад
For information on upcoming conferences, visit www.rstats.ai. Making Things Difficult: The Role of Disfluency in Science Communication by Laura Gast Abstract: This talk explores how disfluency, both in font choice and in speech, impacts memory retention, comprehension, and decision-making. We'll examine research showing how introducing slight difficulty in reading or speech can improve recall a...
Jessica Klein -The Role of R in Census Bureau Data Reporting
Просмотров 99Месяц назад
For information on upcoming conferences, visit www.rstats.ai. The Role of R in Census Bureau Data Reporting by Jessica Klein Presentation Slides: rstatsnyc.blob.core.windows.net/misc/The-Role-of-R-in-Census-Bureau-Data-Reporting_Jessica-Klein.pdf Abstract: The Census Bureau collects vast amounts of data on America's population, places, and economy. In this presentation, we will highlight how R ...
Frederick Thayer - Defending Your Data: When Best Practices Don’t Apply
Просмотров 44Месяц назад
For information on upcoming conferences, visit www.rstats.ai. Defending Your Data: When Best Practices Don’t Apply by Frederick Thayer Presentation Slides: rstatsnyc.blob.core.windows.net/misc/Defending-Your-Data-When-Best-Practices-Dont-Apply_Frederick-Thayer.pdf Abstract: Data analytics best practices are important guidelines to follow whenever possible, but what do you when you cannot apply ...
William E. J. Doane - Text Explorer
Просмотров 49Месяц назад
For information on upcoming conferences, visit www.rstats.ai. Text Explorer by William E. J. Doane Presentation Slides: rstatsnyc.blob.core.windows.net/misc/Text_Explorer-William_Doane.pdf Abstract: Textual data constitutes a large, often unstructured data source that can be mined for insights about common themes or emerging topics of interest. Making tools available to non- or novice-coders th...
Will Angel - Wrangling Data with DuckDB
Просмотров 82Месяц назад
For information on upcoming conferences, visit www.rstats.ai. Wrangling Data with DuckDB by Will Angel Presentation Slides: rstatsnyc.blob.core.windows.net/misc/Wrangling-Data-with-DuckDB_Will-Angel.pdf Abstract: Learn how to accelerate data processing in your R code with DuckDB, a fast, open source, in-process analytical database! This talk will provide an overview of DuckDB and Duckplyr, expl...
Travis Knoche - Serving Your Own Local LLM for Internal, Secure GenAI
Просмотров 57Месяц назад
For information on upcoming conferences, visit www.rstats.ai. Serving Your Own Local LLM for Internal, Secure GenAI by Travis Knoche Presentation Slides: rstatsnyc.blob.core.windows.net/misc/Serving-Your-Own-Local-LLM-for-Internal-Secure-GenAI_Travis-Knoche.pdf Abstract: You’re likely hearing a lot about generative AI and large language models (LLMs) and how they can assist in day-to-day data s...
Selen Stromgren & Evgeny Kiselev - Harnessing NLP in R to Create the Concept of Ops for a Large Orgs
Просмотров 20Месяц назад
For information on upcoming conferences, visit www.rstats.ai. Liberate the Summer Interns onto More Interesting Terrain: Harnessing NLP in R to Create the Concept of Operations for a Large Organization by Selen Stromgren & Evgeny Kiselev Presentation Slides: rstatsnyc.blob.core.windows.net/misc/Liberate_the_Summer_Interns_onto_More_Interestin_Terrain-Harnessing-NLP_in_R_to_Create_the_Concept of...
Richard Schwinn -What is the Best Data Format for Your Shiny Project?
Просмотров 35Месяц назад
Richard Schwinn -What is the Best Data Format for Your Shiny Project?
Rafael Lav - Scaling Environmental Insights w/ Earth Observation
Просмотров 17Месяц назад
Rafael Lav - Scaling Environmental Insights w/ Earth Observation
Mikaela Meyer - Slowly Scaling Per-Record Differential Privacy
Просмотров 14Месяц назад
Mikaela Meyer - Slowly Scaling Per-Record Differential Privacy
Marck Vaisman - R and Python - A Love Story
Просмотров 56Месяц назад
Marck Vaisman - R and Python - A Love Story
Jared P. Lander -Mapping Ever Larger Data with PostGIS, DuckDB, GeoArrow and deck.gl
Просмотров 76Месяц назад
Jared P. Lander -Mapping Ever Larger Data with PostGIS, DuckDB, GeoArrow and deck.gl
David Meza - Incorporating Local LLMs into Your Workflow
Просмотров 119Месяц назад
David Meza - Incorporating Local LLMs into Your Workflow
Benjy Braun - Falling for the Exception: Understanding and Avoiding the Base Rate Fallacy
Просмотров 36Месяц назад
Benjy Braun - Falling for the Exception: Understanding and Avoiding the Base Rate Fallacy
Alex Gold - Everything You Never Wanted to Know About Auth
Просмотров 95Месяц назад
Alex Gold - Everything You Never Wanted to Know About Auth
Abigail Haddad - Finding Your Next Federal Data Job
Просмотров 38Месяц назад
Abigail Haddad - Finding Your Next Federal Data Job
Kelsey McDonald - R is for Retention: Using Regression Models to Increase Revenue in Sports
Просмотров 3316 месяцев назад
Kelsey McDonald - R is for Retention: Using Regression Models to Increase Revenue in Sports
Wes McKinney - The Future Roadmap for the Composable Data Stack
Просмотров 1,3 тыс.6 месяцев назад
Wes McKinney - The Future Roadmap for the Composable Data Stack
Retrospective Panel with Jon Krohn, Drew Conway, Emily Zabor, JD Long and Jared Lander
Просмотров 1936 месяцев назад
Retrospective Panel with Jon Krohn, Drew Conway, Emily Zabor, JD Long and Jared Lander
John Park - Strategic Football Ops: Department Philosophies &Integrating Statistical Applications
Просмотров 4326 месяцев назад
John Park - Strategic Football Ops: Department Philosophies &Integrating Statistical Applications
Hilary Mason - Data, AI, and Creativity
Просмотров 4416 месяцев назад
Hilary Mason - Data, AI, and Creativity
Thank you. Few videos cover parallel computing in R and the future package on RUclips. Educational video.
at 42:04, the last row has a probability of 0.01 - does this mean the machinery chose an low probability action with a high reward (0.96)? In practice, why would a machinery choose this action? I'm assuming there were other actions that potentially had higher probability (but maybe a lower reward). Is this related to the partial feedback that Vikram mentioned?
👏🏼👏🏼👏🏼
Starts 10:09
Love how the audience rhubarb grows.
Great explanation. Thanks for sharing this
What is the likelihood for BART. He talked about the priors, but not the likelihood.
To comment on a small aside on R's annoying behavior relating the final comma: the rlang package introduces the list2 function that does allow for trailing comma's in lists. I often find myself replacing list with list2 just to avoid runtime errors. Of course, it would've been nice if this was supported throughout the language natively.
Where can one find the Puppeteer chrome extension at 40:52? I only see the Puppeteer IDE extension.
❤
Need more honest people like her
Thanks for posting the recorded talk, I finally got around to listening to Jeff, it was really informative. 🙏
Great Talk.
Please I would like to know if Principal Component Analysis (PCA) was incoporated into the CMP regression model and also the rate parameter being null,is there an explanation for that . I am currently using this model for my project and i am finding it difficult to estimate the lambda. I asked of the PCA because my outputs are that variable despite me not using anything of like that. I am very happy to come across this video of yours and would be super excited to receive a feedback from you . Thank you very much prof. (Livingstone is my name please)
Thank you very much for the explanations professor
Wish I saw this 5 years ago. Dang. 👌
Very good talk, thanks! Are the links from the presentation (or the presentation itself) available?
Thank you for an catching me up on the past 15 years of R. I look forward to begin a part of the community for the next 15+ years
Why does she keep sniggering like its funny. Dont disagree with her but it was hard to listen to, remembering the calls of those stuck inside begging for help. She needs to sound more serious not like she's selling it.
I have got to make it to a Lander conference before Dr. G decides to retire ❤ huge huge fan Thank you for posting
thank you!
Can I get the mathematics behind this model?
Excellent
Awesome stuff!
Embedded in time is a remarkable generalization range from a survey in a morning or afternoon, a coin flip or a sporting event (the last example). I would say the sporting event has a "historical context" but that is more specific (narrower) than time.
d umb, d isgusting, w hore
ARM is awesome
I Sarah i apologize i was experiencing extreme trauma rape kidnapped prayed over to become satanic ritual abuse Freemasonry Gaddafi jeezelbel Ahab pharoah Satan surveillance oberlin ordered me to go to the 1990ksm terrorist meeting i apologize for neing rude to you
Should I put the xaringan function in the YAML!?
Outstanding presentation!! Just too bad that the slides were not matching the talk
Awesome talk! Thanks for sharing.
Promo*SM
Excellent presentation
pretty smart and glowing The charts 😊
Did she go to indiana state think might meet her in 90s
My new website name is SlideCraft Solutions
psych student reading a cognitiive paper, you just 6.41 saved my soul from breaking <3
Studied Stats with The Gelman 14 years ago, and still miss it to this day, so I came here to relive the feeling. Legend.
Everyone needs to learn about what Sarah is doing and how she’s being throttled and censored! Share anything you find with her. Try finding Sarah on the Shawn Ryan Show, good luck.
💖
That is Dr Daniel to you😮
Saw Sarah on The Shawn Ryan show and was enamored. This is woman is highly intelligent and knows her stuff. She’s also not afraid to say a lot of things that everyone else is. If she sees something wrong, she speaks up and doesn’t give a damn who doesn’t like it. People like her are a part of the very few that still give me faith in our government.
Same here. Bought her book and have been trying to find other podcasts about her talking about Benghazi. I’m obsessed
Thanks David. Could you please also make a tutorial of Copilot for Rstudio since copilot is available in Rstudio.
Promo-SM
Some concrete examples might have made it far more interesting….
09:00 starts here
Great presentation! What about mapview?
Mapview is great, but to me it is mostly a wrapper around leaflet, so I just went for the lower level API.
Or did the damn randomisation correctly 😅
belgian beer and andrew gelman on the shelve :)
I'd like to plot data from a csv file, but allow the user to select which series to show. The plot would autoscale accordingly. Unfortunately, I haven't seen any off-the-shelf solutions for this.. perhaps csv-plot and plotjuggler being the closest. So looking to learn how to program this (unsucessful with chat-gpt).. so was wondering what might be the easiest for a beginner? Javascript seems to have (by far) the most charting libraries (ggplot, Observable, D3, plotly.js etc), but python has gnuplot-py, matplotlib. In the end, I need to chart *AND* have a gui that allows the data to be selectively shown or not!