Josh Wills
where else to find them
what they talk about
all 5 in the filters
where they keep going back
- MLconf SF3 editions2016–2019
all 5 in the filters
on a stage with
never shared a talk
who talks about the same things
- Andy Petrella14 talks
- Patrick Deziel4 talks
- Sara Robinson17 talks
- Dean Wampler29 talks
- Milos Milovanovic5 talks
- Ramon Perez8 talks
| title | conference | date |
|---|---|---|
| DuckDBT: Not a database or a dbt adapter but a secret third thing | DuckCon #3 | 2023-06-29 |
Adapter glues DBT to DuckDB so DBT runs against local DuckDB instances and object stores without standing up a cloud warehouse; it supports Iceberg, SQLAlchemy… | ||
| The COVID Scenario Pipeline: High Stakes Data Science | MLconf Online 2020 | 2020-11-05 |
A volunteer team spins up a reproducible pipeline that turns the Johns Hopkins SEIR code into docker images, profiles and speeds it to run in minutes, and then… | ||
| Data Labeling as Religious Experience | MLconf SF 2019 | 2019-11-08 |
Describes building a spam classifier for Slack invites that fails when using invite-acceptance as the label and reveals the comical result that VP of… | ||
| Josh Wills, Head of Data Engineering, Slack | MLconf SF 2017 | 2017-11-10 |
Model building time collapses from months to days using XGBoost, embeddings, and emerging neural architecture search tools, enabling seismic oil imaging that… | ||
| Several People Are Tuning: Data and Machine Learning at | MLconf SF 2016 | 2016-11-11 |
Slack has two years of public data, a newly formed machine learning team (six months) and a seven‑person data engineering team that builds a modern stack on… | ||
| Why The Best Minds Of Our Generation Are Thinking About Click Ads | Data By the Bay 2016 | 2016-05-16 |
Argues that ad tech created the best data tooling and culture but is now mostly an automated machine war; identifies the real data problem as change not scale… | ||
| DBTB INT Josh Wills r | Data By the Bay 2016 | 2016-05-16 |
Says working as director of data engineering at Slack and argues that tech advantage now often comes from a defensible data advantage held by companies like… | ||
| Josh Wills, Director of Data Science, Cloudera @ MLconf SEA | MLconf Seattle 2015 | 2015-05-01 |
Argues that feature engineering needs an IDE and shows a working prototype: the Exhibit project layers a Supernova schema (one record per entity with arrays of… | ||
| nothing matches | ||