Joseph Wagner @josephaWagner
interested in engineering for the global public good Joined May 2013-
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How to get from high school math to cutting-edge ML/AI: a detailed 4-stage roadmap with links to the best learning resources that I'm aware of. I recently talked to a number of people who work in software and want to get to the point where they can read serious ML/AI papers like…
The Staff+ engineer with decades of experience who happily debug issues at the deepest level, never hesitates to review a PR, and provides critical but kind feedback to anyone’s design.
There is a selection bias in college-level mathematics education: We believe that the status quo works well because it works for the top students (who go on to do PhDs, etc.). Yet it often works poorly for students in the “middle of the class.”
Tools Atlassian will implement: + AI to "adjust tone" of a single sentence you're writing Tools Atlassian will not implement: + ability to export Confluence pages to Markdown
@norootcause At Amazon I called it "Zeno's Service". The team says they're working on a new service that will solve our problem, but it actually only solves half of them and we have to wait until the following service to solve the remaining half.
I've come across very few open source projects which ship weekly releases (though they do exist). Ironically, while it takes a lot of work to get to a constantly releasable state, it's less work to maintain. Previously, we were following a six-week release cycle. Every release…
I've come across very few open source projects which ship weekly releases (though they do exist). Ironically, while it takes a lot of work to get to a constantly releasable state, it's less work to maintain. Previously, we were following a six-week release cycle. Every release… https://t.co/B9fEjvYoGU
Such a great question -- now that things like Clickhouse and DuckDB exist, how do we think about retriever, our custom built storage engine? Answer: it's a massive differentiator for us, and a huge competitive advantage. We LOVE it. => 🧵
Such a great question -- now that things like Clickhouse and DuckDB exist, how do we think about retriever, our custom built storage engine? Answer: it's a massive differentiator for us, and a huge competitive advantage. We LOVE it. => 🧵
You can't pay enough attention to Dutch (and German) database research labs. Today's exhibit: github.com/cwida/FastLanes
NumPy 2 comes out tomorrow! Pybind11 2.12 supports it (since March), Numba 0.60 supports it (I just pushed the conda-forge numba 0.60 update earlier today!), PyTorch does, CuPy does, and many more. Some don't, like TensorFlow.
Just announced at the Data + AI Summit: streaming on @databricks, powered by Structured Streaming, now has a real-time mode that is 10x-30x faster (in the p99!) than micro-batch mode! It's been a privilege to architect and implement major parts of this. Our team is incredible!
Did you know that I have a suite of theory-driven tools for analyzing and visualization the output of Markov chain Monte Carlo output in both R and Python? github.com/betanalpha/mcm… github.com/betanalpha/mcm…
“Tech debt is a natural byproduct of the software innovation lifecycle. Tech debt has a marketing problem. We don’t talk about it the same way we talk about innovation. It’s a “suitcase term” (thing you blame everything on) We’re not helping ourselves” Bruce Wang from @netflix
It took them FOREVER to add a calculator iPad app, they kept waiting and saying when they do it will be the best calculator app ever, and goddamn it looks amazing
Must-read excellent books with 🆓 PDF available to download from the author/book web pages: 👉 franknielsen.github.io/Books/CuratedB…
one take, unedited, uncut DC1_60fps_demo.mp4
one take, unedited, uncut DC1_60fps_demo.mp4 https://t.co/qMQnur5g6z
this is so funny, esp. including a k from 1999. I wonder if polars doesn't do linear-time sort?
this is so funny, esp. including a k from 1999. I wonder if polars doesn't do linear-time sort? https://t.co/lYhjTDdHqG
that part almost feels like a treat
TPC-H Cloud Benchmarks: Spark, Dask, DuckDB, Polars Across scales: 10 GiB, 100 GiB, 1 TiB, 10 TiB Hardware: MBP and AWS It was a fun experiment. No project wins uniformly. DuckDB and Dask do pretty well. docs.coiled.io/blog/tpch.html
@ApacheParquet : turns out it is not just for Hadoop anymore 🤣 We finally fixed the main site to cover Parquet's (much) broader role in the ecosystem parquet.apache.org
Alphabetical order mismatch and 52 of 78 neighborhoods had wrongly merged data. I spend a lot of time teaching advanced inference methods, but boring research data management remains the most essential skill. And that includes auditing for merge mistakes.
Alphabetical order mismatch and 52 of 78 neighborhoods had wrongly merged data. I spend a lot of time teaching advanced inference methods, but boring research data management remains the most essential skill. And that includes auditing for merge mistakes.

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