posit::conf(2024)
2024-08-12..2024-08-14
Seattle, United States
[posit::conf(2023), posit::conf(2024), posit::conf(2025)]
who it's for
data scientists, R developers, Quarto users, Python developers, data engineers, analytics managers
topics
Positron IDE and Ark R kernel; DuckDB in-process analytics; Quarto multiformat publishing; Quarto parameterized reports; Shiny via WebAssembly (webR/Shinylive); Posit Connect event automation; Databricks and Snowflake integration; editable data frames in Py-Shiny; generative AI in data workflows; prediction interval generation and evaluation; reproducible books with Quarto; data contracts for pipelines
| title | author | length |
|---|---|---|
| Introducing Positron, a new data science IDE | Julia Silge, Isabel Zimmerman, Tom Mock, Jonathan McPherson, Lionel Henry, Davis Vaughan, Jenny Bryan | 01h 18m |
Positron is a newly public early beta IDE (six weeks) that runs R and Python via language packs and aims to be extensible to other languages; it ships a new… | ||
| A future of data science | Allen Downey | 58m |
Argues that computation — not theory — made modern data science, demonstrating bootstrap resampling on BRFSS heights in nine lines of code to show men are… | ||
| Data Wrangling [for Python or R] Like a Boss With DuckDB | Hannes Mühleisen | 58m |
DuckDB runs in process with zero dependencies and parses messy files faster than a server workflow so an 857 MB New Zealand census CSV with 34 million rows… | ||
| Updates from Posit | Hadley Wickham, Charlotte Wickham, George Stagg, James E. Blair | 58m |
Posit frames its mission around open source tools and reports concrete progress: since 2019 over 300 people gain internal access to Posit Workbench, and… | ||
| Closeread: bringing Scrollytelling to Quarto | Andrew Bray | 21m |
Closeread is a Quarto extension that actually implements scrollytelling: it produces two‑column or overlay layouts, lets authors mark content as CR section… | ||
| Report Design in R: Small Tweaks that Make a Big Difference | David Keyes | 20m |
Shows how to produce reproducible, polished PDFs for hundreds of clients (169 Connecticut towns) using Quarto parameterized reports that hand variables to… | ||
| Beyond Dashboards: Dynamic Data Storytelling with Python, R, and Quarto Emails | Sean Nguyen | 19m |
Dashboards often sit unused so the claim is to push targeted insights into users’ inboxes by rendering Quarto QMD reports as emails from Python or R, sourcing… | ||
| Shiny x AI | Joe Cheng | 20m |
Workarounds for missing APIs and browser inputs lead to concrete components: an input video clip component and audio spinner that enable a GPT‑4o-style video… | ||
| Quarto for Knowledge Management | Cynthia Huang | 21m |
Uses Quarto websites and plain text to run a personal PhD log spanning three years and capture 80–90% notes in Quarto, with YAML-driven listings… | ||
| Designing and Deploying Internal Quarto Templates | Meghan Hall | 18m |
Shows how an organization packages Quarto templates inside an internal R package (files placed under inst/_extensions) so a single function (create_zelus_html)… | ||
| Reproducible, dynamic, and elegant books with Quarto | Mine Cetinkaya-Rundel | 19m |
Three concrete workflows for Quarto books with evidence and tooling: one book produces HTML and PDF from one source using SCSS plus LaTeX environments and… | ||
| Quarto, AI, and the Art of Getting Your Life Back | Tyler Morgan-Wall | 20m |
Convert an existing WordPress blog by paste raw HTML into QMD files (only add a Quarto header), automate publish with Quarto Render Hooks that call an R script… | ||
| Practical Tips for Using Generative AI in Data Science Workflows | Melissa Van Bussel | 58m |
Demonstrations use GPT 4.0 and OpenAI APIs to convert whiteboard images into Quarto HTML on first try (including math), extract tables to downloadable CSVs… | ||
| We CAN have nice Shiny apps: What's new in Shiny's UI & UX | Greg Swinehart | 17m |
Shows concrete UI changes: a refreshed color system shipped as a bootswatch theme, new components (sliders, cards, full‑screen value boxes) and a components… | ||
| Making sense of marginal effects | Demetri Pananos | 17m |
Marginaleffects provides a single interface for 100+ model types in R and Python and demonstrates concrete workflows: use avg_comparisons to compute a lift… | ||
| Creating reproducible static reports | Orla Doyle | 21m |
A reproducible report pipeline converts a single R Markdown file into a company-compliant Word document by programmatically rendering to docx company template… | ||
| gtsummary: Streamlining Summary Tables for Research and Regulatory Submissions | Daniel Sjoberg | 20m |
gtsummary is a mature R package for publication‑ready tables that now reaches over 1,000,000 CRAN downloads, 1,000 GitHub stars and won an ASA innovation… | ||
| AI for Gaming: How I Built a Bot to Play a Video-Game with R and Python | Aleksander Dietrichson | 20m |
A bot that plays the browser puzzle Christmas Three achieves a mean score of 42.5 per move (creator scores ~20), implemented with reinforcement learning +… | ||
| GitHub: How To Tell Your Professional Story | Abigail Haddad | 20m |
GitHub provides the biggest immediate return for a portfolio by showing real code, not just visuals, and proves skills like Git usage, modular functions, and… | ||
| Wait, that’s Shiny? Building feature-full, user-friendly interactive data explorers | Kiegan Rice | 18m |
Interactive data explorer built with Shiny that combines an interactive table, map and line charts, reactive filters and dynamic titles, plus landing, About… | ||
| Context is King | Shannon Pileggi | 20m |
Embedding variable labels in R data frames claims to keep data context with the data, cut down on chasing source code, and make figures and tables… | ||
| Keras 3: Deep Learning made easy | Tomasz Kalinowski | 20m |
Keras 3 is a ground up rewrite that restores multi-backend support for JAX PyTorch and TensorFlow plus NumPy inference and a backend agnostic .keras save… | ||
| Quarto: A Multifaceted Publishing Powerhouse for Medical Researchers | Joshua Cook | 19m |
Quarto enables generating a report, manuscript (PDF via a PLOS template), and presentation (reveal.js or PPTX output) from one source by using shared YAML… | ||
| tidymodels for time-to-event data | Hannah Frick | 19m |
Demonstrates adding native time-to-event support to tidymodels by converting churn data to a Surv object, fitting proportional hazards or parametric/tree… | ||
| Adequate Tables? No, We Want Great Tables | Richard Iannone | 20m |
gt started in 2018 and now ships a concrete set of features: a formal table model with header/footer/stub, 29 formatters covering scientific notation, units… | ||
| {mirai} and {crew}: next-generation async to supercharge {promises}, Plumber, Shiny, and {targets} | Charlie Gao, Will Landau | 20m |
mirai uses NNG (nanomsg next gen) to give true event‑driven async: thousands of R processes connect brokerless, millions of tasks run with microsecond… | ||
| Evaluating Time-to-Event Models is Hard | Max Kuhn | 20m |
Uses tidymodels and yardstick to evaluate censored time‑to‑event models with reverse Kaplan Meier to estimate censoring probabilities and inverse probability… | ||
| Building ML and AI apps with Shiny for Python | Winston Chang | 20m |
An assistant named Shiny Assistant generates runnable Shiny apps in R or Python using Claude 3.5 Sonnet and loads them into Shinylive so code runs in-browser… | ||
| Give me the Data | Colin S Gillespie | 20m |
CSV works reliably for small files and long-term reproducibility but hits RAM limits once datasets approach gigabytes, so use readr or data.table for tidy… | ||
| Empowering Reproducible Finance through Tidy Finance with R and Python | Christoph Scheuch | 21m |
A public, open-source textbook and website (tidyfinance.org, GitHub repo) reproduces asset-pricing examples in both R and Python editions, uses Quarto to… | ||
| Your journey from data science to animated web graphics | James Goldie | 21m |
Quarto embeds Observable JavaScript so a Quarto install alone runs interactive plots: built a bar chart with tooltips and ARIA labels, a globe that rotates by… | ||
| Ten Simple Rules for Teaching an Introduction to R | Ava Hoffman | 05m |
Ten concrete rules distilled from teaching hundreds of public health professionals and students: use R Markdown and Quarto to teach reproducible workflows… | ||
| DataPages for interactive data sharing using Quarto | Mika Braginsky | 05m |
Datapages packages a reproducible workflow that turns a Redivis dataset into a static Quarto website with Redivis versioned tables, Quarto project type and… | ||
| Easing the pain of connecting to databases | Edgar Ruiz | 17m |
New odbc helpers reduce ten required connection args to one by providing sensible defaults and automatic driver lookup on Linux and Mac, plus automatic Mac INI… | ||
| R Scripts to Databricks: Lessons in Production Workflow | Eric Leung | 05m |
A one‑laptop R script that runs an MLB monthly conversion metric becomes a production pipeline that automates and scales measurement of ESPN live TV ad effects… | ||
| Making Waves with R, Python, and Quarto | Regina Lionheart | 19m |
Hydrodynamic model outputs from proprietary formats become a single reproducible analysis pipeline using R and Python wrapped in Quarto, exporting model grids… | ||
| Understanding, Generating, and Evaluating Prediction Intervals | Bryan Shalloway | 19m |
Prediction intervals are often more useful than point estimates and Conformalized Quantile Regression gives a simple, model‑agnostic way to get them by first… | ||
| From idea to code to image: Creative data visualizations in R | Georgios Karamanis | 18m |
Shows that creative, publication‑ready visuals come from R and ggplot2 plus extensions and practical hacks, not magic; reproduces a 3D effect and a Eurovision… | ||
| Editable data frames in Py-Shiny: Updating original data in real-time | Barret Schloerke | 19m |
Live demo of editable Py-Shiny tables shows per-column filters, numeric min/max filtering, and in-browser edits that trigger Python to recompute styles so… | ||
| Using GitHub Copilot in R Shiny Development | Mark Wang | 20m |
Demonstrates that GitHub Copilot can convert HTML to Shiny UI and scaffold front-end HTML/JS, generate function documentation, and produce unit, server and… | ||
| Python Rgonomics | Emily Riederer | 19m |
Recommends swapping pandas for Polars (zero dependencies, Rust backend, native support in Seaborn/Scikit‑learn, column expressions, select helpers, streaming… | ||
| Be Kind, Rewind | Ellis Hughes | 18m |
An R package called {camcorder} records every ggplot or patchwork as it’s created, saving PNG/SVG/PDF files (default to a temp dir) and stitching them into… | ||
| Why’d you load that package for? | Luis D. Verde Arregoitia | 04m |
Built an R tool called annotater R package that automates short comments on library calls and adds titles, functions, versions/sources next to loads so scripts… | ||
| API-first package design — and learning patchwork in the process | Thomas Lin Pedersen | 20m |
An API-first approach drives the design of patchwork so a single plus operator composes ggplots into aligned, nested layouts without extra complexity; the… | ||
| Using Generative AI to Increase the Impact of Your Data Science Work | Alok Pattani | 20m |
Uses Gemini (Gemini 1.5 Flash for high-throughput calls, Gemini Pro for deep reasoning) plus Vertex AI to read plots and generate plain-English explanations of… | ||
| Tidypredict with recipes, turn workflow to SQL, spark, duckdb and beyond | Emil Hvitfeldt | 21m |
A new package called orbital package turns a fitted tidymodels workflow (including recipes) into a compact object that generates equivalent predictions, SQL or… | ||
| Deep Learning is Just LEGO: & Other Hands on Machine Learning Activities | Chelsea Parlett-Pelleriti | 19m |
Claims that core deep learning concepts become tangible by building physical models using actual LEGOs, clay or Play-Doh, and 3D prints; demonstrates LEGO… | ||
| "Please Let Me Merge Before I Start Crying": And Other Things I've Said at The Git Terminal | Meghan Harris | 19m |
Shows a concrete two-branch example where a shared config file has conflicting dates and explains the three conflict markers you actually edit to resolve it… | ||
| Event Automation with Posit Connect | Kelly O'Briant | 05m |
Posit Connect now supports programmatic event-driven renders instead of only cron schedules: the Connect team takes over maintenance of connectapi and replaces… | ||
| Mastering the Art of Adopting R and Python: Innovative Strategies for Effective Change Management | Mark Bynens | 20m |
Claims a repeatable roadmap used at Janssen/Johnson & Johnson to replace SAS with R (and Python referenced in the description) by running changes… | ||
| Oops I'm A Manager - Finding your Minimal Viable Process | Andrew Holz | 21m |
Claims a working recipe called minimum viable process that replaces guilt-driven checklists with high-level feature ownership, concrete experiments, and retros… | ||
| Supercharge Your Shiny (for Python) App: Unleashing Interactive Jupyter Widgets | Carson Sievert | 20m |
shinywidgets brings the Jupyter ipywidgets standard into Shiny for Python, letting hundreds of notebook widgets render as Shiny outputs and turning common… | ||
| Uniquely Human: Data Storytelling in the Age of AI | Laura Gast | 17m |
Three practical claims: humans must set context because LLMs and video AI misinterpret situational meaning (example: 9.1 versus 9.9 versioning confusion and… | ||
| Mixing R, Python, and Quarto: Crafting the Perfect Open Source Cocktail | Alenka Frim, Nic Crane | 16m |
Dashboards combine GitHub issues, PRs, Stack Overflow and the mailing list to highlight new contributors (about half of recent issue authors) and surface… | ||
| Saving time (and pain) with Posit Public Package Manager | Joe Roberts | 16m |
Posit Public Package Manager (p3m.dev) claims to make package installs faster and reproducible by serving daily CRAN snapshots (also PyPI and upcoming… | ||
| To Explore or To Exploit: Decoding Human Decision Making with R and Python | Erin Bugbee | 18m |
Experiment uses a 10-item optimal stopping task run on Qualtrics with JavaScript/HTML/CSS, and compares human choices to a mathematically optimal agent and a… | ||
| Teaching and learning data science in the era of AI | Andrew Gard | 05m |
Demonstrates using GitHub Copilot to generate a horizontal ggplot from the religious income dataset and shows one prompt that produces a correct chart and a… | ||
| Demystifying Data Modeling | Kshitij Aranke | 18m |
Example pipeline reads three CSVs, computes per-customer aggregates, and writes a dimensional customer model used to email lapsed customers — the emails… | ||
| Building scalable data pipelines through R and global health information systems' API | Karishma Srikanth | 20m |
Team builds reproducible, automated data pipelines in R to support USAID's $6 billion PEPFAR program, routinely pulling Datum and UNAIDS estimates via… | ||
| Making an App a System | Andrew Bates | 12m |
Turns a canonical Shiny app into a versioned R package that child apps depend on, moves heavy data wrangling out of Shiny into scheduled jobs, and uses simple… | ||
| A New Era for Shiny-based Clinical Submissions using WebAssembly | Eric Nantz | 20m |
A working submission prototype packages a Shiny app so a reviewer extracts a bundle and launches it in a browser instead of installing R, Rtools and hundreds… | ||
| Democratizing Organizational Surveys with Quarto and Shiny | Brennan Antone | 20m |
Reworks employee surveys so each respondent gets actionable, private output instead of only a top‑level management dashboard, delivering personalized network… | ||
| Why You Should Think Like an End-to-end Data Scientist, and How | Adam Wang | 20m |
Built an end-to-end ML pipeline that delivers a live Donor Readiness Score to transplant center UIs, moving from R/Python/SQL prototypes to production with AWS… | ||
| Auth is the product, making data access simple with Workbench | Aaron Jacobs | 22m |
Posit Workbench manages and refreshes short-lived credentials for AWS, Azure, Databricks, and Snowflake and makes them available inside IDEs (RStudio, VS Code… | ||
| Data Contracts: Keep Your Weekend Work-Free! | Nick Pelikan | 20m |
Data contracts are defined as enforceable agreements (not just tech) that specify schema, SLAs, interface and compliance requirements so dashboards and models… | ||
| Elevating enterprise data through open source LLMs | Zac Davies | 18m |
Shows a working architecture that keeps enterprise data and models inside Databricks while exposing a secure Posit Connect Python Shiny app for users, using… | ||
| Breaking data identities: Making a case for language-agnosticity | Albert Rapp | 05m |
Argues that being language‑agnostic speeds problem solving, backed by a PhD-era example where reading other fields produced concrete fixes. Shows… | ||
| Fair machine learning | Simon P. Couch | 20m |
Shows a concrete fairness analysis of property tax valuation using tidymodels code and a GitHub repo (github.com/simonpcouch/conf-24) and slides, not abstract… | ||
| Empowering Decisions: Advanced Portfolio Analysis and Management through Shiny | Lovekumar Patel | 23m |
Built a Shiny front end with an internal R package and Plumber API that serves realtime portfolio calculations, session‑tracked edits and logs; uses R6 classes… | ||
| Computing and recommending company-wide employee training pair decisions at scale... | Regis A. James | 20m |
An in-house system called MAGNETRON AI automates mentor–mentee matching using R, Python and LLMs with a Shiny front end, MySQL and Neo4j back end and packages… | ||
| Art of R Packages: Forging Community with Hex Stickers | Hubert Halun | 11m |
Hex stickers claim to build community by making packages collectible and visible on clothing, cakes and jewelry, and by signaling identity across Tidyverse… | ||
| Posit Academy in the Age of Generative AI - Lessons from the Frontlines | James Wade | 20m |
Posit Academy runs a ten-week curriculum with nearly 200 learners (mix of R and Python, many PhDs) and finds AI coding assistants rated poorly — over half of… | ||
| Giving your scientific computing environment (SCE) a voice | James Black | 20m |
Operational logs from Posit Connect, Posit Package Manager, GitLab, Kubernetes/Prometheus and AWS Batch feed a live dashboard that surfaces concrete actions… | ||
| Modernizing the Data Science Toolkit of a 40-year-old Market Research Company | Keaton Wilson | 20m |
Over the last 18 months the Decision Sciences team migrates core work to GitHub, producing 200+ repositories, adding code review and project-tracking alongside… | ||
| Translating clinical guidance to actionable insights with R | Claire Bai | 05m |
COTA builds and ships an R package called rwnavigator that converts multi-table real-world oncology records into clinically informed one-row-per-patient… | ||
| JSquarto: Bridging JavaScript Documentation with Quarto's Power | Richie Moluno | 05m |
A new tool called JSquarto generates documentation from JavaScript comments into Quarto sites that support right-to-left and non‑Latin scripts, addressing… | ||
| Novice to data scientist: a pediatric anesthesiologist uses RStudio to help kids access surgical ca | Nick Pratap | 20m |
Self-taught analysis of thousands of pediatric records shows a 5% day‑of‑surgery cancellation rate (about ~$1 per second lost) and uses R Studio/tidyverse… | ||
| Open-Source Initiatives in Pharma - What's Out There and Why You Should Join | Nicholas Masel | 18m |
Three practical phases: convince an org, scale to regulated delivery, then sustain and contribute. Shows a quick win converting an Excel adverse‑event workflow… | ||
| Data Wrangling for Advocacy: Tidy Data to Support the Affordable Connectivity Program | Christine Parker | 19m |
Dashboard cleans messy FCC ACP spreadsheets with R using tidyverse, stringr, and tidycensus, fixes leading-zero FIPS, joins enrollment and claims, and… | ||
| A Machine Learning Approach to Protect Patients from Blood Tube Mix-Ups | Brendan Graham | 20m |
A deployed system detects wrong‑blood‑in‑tube (WBIT) errors by training binary classifiers on multi‑analyte delta features computed from paired CBCs, with… | ||
| Templated Analyses within R Packages for Collaborative, Reproducible Research | Christopher T. Kenny | 05m |
An R package called alarm-redist/fifty-states organizes redistricting work so novices run devtools::load_all() and invoke templated functions like… | ||
| Contributing to the R Project | Heather Turner | 17m |
R core numbers and concrete ways to help: the R codebase is maintained by ~20 core developers with one full‑time contributor and has 600+ open bugs… | ||
| Deploying data applications and documents to the cloud | Alex Chisholm | 20m |
A new hosted service called Connect Cloud launches an alpha that links public GitHub repos to live outputs so code and a runnable example sit side by side it… | ||
| Leveraging Data in a Volunteer Fire Department | Joseph Richey | 19m |
About 70% of US fire departments are volunteer run and one rural department replaces paper forms with R Shiny frontends, Python scripts, and an AWS free tier… | ||
| Shiny in Action: Transforming Film Production with TARS | Marcin Dubel | 20m |
An R/Shiny app called TARS centralizes film production data for a major studio, replacing 50+ manual monthly reports by automating ~60 scheduled reports across… | ||
| CI madness with Ibis: testing 20 query engines on every commit | Phillip Cloud | 20m |
Project runs tests against 20 backends (about 17 SQL, 3 non‑SQL) on every commit and claims CI completes quickly by making individual jobs fast. Tools actually… | ||
| Beyond the Classroom: Unspoken Realities of a Data Science Career | Brandon Sucher | 21m |
Career advice focuses on three concrete actions: deliberately expand networks (sets like one coffee chat a month and joining employee resource groups), find a… | ||
| Using the Kyber R package to connect Google Sheets, RMarkdown, GitHub, & Agenda docs for open edu | Stefanie Butland | 05m |
OpenScapes automates setup so one R command generates repos, indexes RMarkdown content, and outputs a multi-page Google Doc agenda from a sheet. The workflow… | ||
| Open Source Software in Action: Expanding the Spatial Equity Data Tool | Gabriel Morrison | 20m |
Spatial Equity Data Tool accepts point CSVs, returns demographic disparity and geographic disparity scores computed by Python running on AWS Lambda (typical… | ||
| Breaking Barriers: Adopting R in Biotech with Posit | Nicole Jones | 17m |
Company replaces ad-hoc R/SAS handoffs with a Posit stack—Posit Workbench, Posit Package Manager and Posit Connect—backed by the vendor SCE using Docker… | ||
| earthaccess: Accelerating NASA Earthdata sci through open, collaborative development | Luis Lopez | 18m |
A Python library that lets users search, download or stream NASA Earthdata with three lines of code handles NASA auth, CMR catalog queries (about 23,000… | ||
| The Expanse - Navigating the R Package Universe | Ben Arancibia | 04m |
Team establishes five concrete values to reduce miscommunication between PhD statisticians and R developers, and claims those values noticeably cut confusion… | ||
| rainbowR - a community that supports, connects and promotes LGBTQ+ people who code in R | Ella Kaye | 05m |
rainbowR describes a community of over a hundred members that runs monthly Zoom meetups (usually fourth Wednesdays), a buddy scheme that opens signups every… | ||
| Level up! Empowering industry R users with different levels of experience | Seth Colbert-Pollack | 18m |
Team of seven at Picnic Health codifies common routines into internal R packages (age calculation, visit spans, DB and auth helpers) and hosts them on Posit… | ||
| Supporting Social Good Through Community-Based Data Science Education | Carrie Wright | 21m |
A Johns Hopkins course runs as a 16-week, two-year experiment pairing three to four students with a single community-based organization to teach data ethics… | ||
| Stitch by Stitch: The Art of Engaging New Users | Becca Krouse | 20m |
Pharma tables for clinical trials get recreated and tweaked dozens of times so an R package called tfrmt stores formatting as metadata (exportable JSON) and… | ||
| bRewing code: Ingredients for successful tribal collaboration | Alena Reynolds | 21m |
Tribal water program uses R and R Markdown (moving toward Quarto), connects one whole database to reproducible scripts, and spends 60 hours of time plus 90 kg… | ||
| Getting Data Done with a Pragmatic Data Team | Alan Schussman | 20m |
Team builds datasets, APIs and integrations across varied domains, uses Python and Git for code‑based work, and balances ad‑hoc fixes with quarterly roadmaps… | ||
| Coding in a Cyclone: open-source and the public sector in the birthplace of R | Lee Durbin | 19m |
An analyst at Auckland Council replaces a chaotic Excel roster for emergency shelters ahead of Cyclone Gabriel by creating an R workflow that collapses a… | ||
| CONNECTing with our clients | Sep Dadsetan | 19m |
Company uses Posit Connect with Git-backed deployment and infrastructure as code (Terraform, Ansible, Jenkins) to spin up reproducible EC2 instances connected… | ||
| Partnering with Posit for progress on Environmental Stewardship | Saumiitha Leelakrishnan | 20m |
Cummins centralizes telematics and onboard diagnostics via ETL, Databricks and PySpark into a SQL warehouse, then serves a R Shiny app on Posit Connect used by… | ||
| Building sustainable open-source ecosystems: Lessons from the #rstats community and an NSF grant | Kelly Nicole Bodwin | 20m |
Project receives an NSF POSE grant to rebuild the data.table ecosystem, funds translations and a blog called the Raft with short “particles” for quick… | ||
| Converting Posit-Enthusiasm into Posit-Action | Tyler McInnes | 22m |
A bioinformatics training coordinator at Genomics Aotearoa sets 17 tasks after posit::conf(2023) and turns conference ideas into concrete steps: adopting… | ||
| Quality Control to avoid GIGO in Deep Learning Models | Vasant Marur | 20m |
A Python pipeline computes dozens of image metrics and scores each image with an IsolationForest (score range −1 to 0) then an interactive Shiny UI lets… | ||
| Balancing Global Infrastructure and Local Autonomy: Lessons from R-Ladies Global | Shannon Pileggi | 17m |
R-Ladies Global manages 100k members, 233 chapters, 63 countries and runs a roughly $50k/year operating cost global infrastructure while relying entirely on… | ||
| nothing matches | ||