Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/jameslamb/talks
Conference talks, meetup talks, and misc. writing
https://github.com/jameslamb/talks
conference-talk data-science machine-learning open-source presentations python r
Last synced: 18 days ago
JSON representation
Conference talks, meetup talks, and misc. writing
- Host: GitHub
- URL: https://github.com/jameslamb/talks
- Owner: jameslamb
- License: bsd-3-clause
- Created: 2019-04-21T03:25:04.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2024-03-07T05:01:55.000Z (11 months ago)
- Last Synced: 2024-12-24T02:25:39.673Z (27 days ago)
- Topics: conference-talk, data-science, machine-learning, open-source, presentations, python, r
- Language: CSS
- Homepage:
- Size: 13.6 MB
- Stars: 24
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# talks
This repository holds information on talks I've given at conferences and meetups.
If you attended one of these talks and have follow-up questions
1. Thank you so much for attending!
2. Open [an issue](https://github.com/jameslamb/talks/issues) or message me [on Twitter](https://twitter.com/_jameslamb)
## Gallery
### Conferences and Meetups
Click the "title" links below for links to slides, code, and other background information.
| title | video(s) |
|:------------------------------------------------------------------------------------------|:----------------------------------------------------------------------:|
| ["Comparing `{lightgbm}` to other R GBDT libraries"][26] | [New York Stats Meetup (May 2021)][27] |
| ["Dask and LightGBM (light intro)"][34] | [Austin Python Meetup (Nov 2021)][35] |
| ["Does that CSV belong on PyPI? Probably not"][40] | [SciPy 2022][41] |
| ["Economics Consulting"][14] | --- |
| ["Economics as a Science"][13] | --- |
| ["Economists Should Learn Data Science"][18] | --- |
| ["Every Way SpotHero Uses Python"][38] | [ChiPy `__main__` meeting (Mar 2022)][39] |
| ["How Distributed LightGBM on Dask Works"][29] | [Dask Distributed Summit (May 2021)][30] |
| ["Intro to Cloud Computing"][15] | [iRisk Lab Hack Night (Apr 2020)][16] |
| ["LightGBM's Road to CRAN"][7] | [satRdays Chicago (Apr 2020)][8] |
| ["People Shape Software"][9] | [satRdays Chicago (Apr 2019)][10] |
| ["Prefect in 5 Minutes"][28] | [ChiPy Data SIG (May 2021)][31] |
| ["Proliferation of New Database Technologies
and Implications for Data Science"][11] | [Domino Data Science Pop-Up (Oct 2017)][12] |
| ["R From the Command Line"][23] | [LA R Users (Mar 2021)][24] |
| ["Recent Developments in LightGBM"][19] | [LA Data Science Meetup (Jan 2021)][20] |
| ["Road to a Data Science Career"][3] | [iRisk Lab Hack Night (Aug 2020)][4] |
| ["Scaling LightGBM with Python and Dask"][5] | [PyData Montreal (Jan 2021)][21]
[Chicago ML (Jan 2021)][22] |
| ["Scaling Machine Learning with Python and Dask"][5] | [Chicago Cloud Conference (Sep 2020)][6]
[ODSC East (Apr 2021)][25] |
| ["Those tables were empty!"][47] | --- |
| ["Using Retry Logic in R HTTP Clients"][17] | --- |
| ["You can do Open Source"][1] | [satRdays Chicago (Apr 2019)][2] |
| ["You can and should do Open Source"][32] | [CatBoost: от 0 до 1.0.0][33] |
### Podcasts
* ["Building for Small Data Science Teams"][36] ([MLOps Community podcast (Dec 2021)][37])
* ["From Open Source to Traditional ML"][42] ([Top End Devs (Dec 2023)][43])
### Writing
* "Scaling LightGBM with Dask" ([ODSC Blog (Feb 2021)][44])
* "What does a Machine Learning Engineer Do?" ([MLOps Community Blog (Sep 2022)][45])
* "Once A Maintainer: James Lamb" ([Allison Pike's "Once a Maintainer" Blog (Oct 2023)][46])
[1]: ./you-can-do-open-source
[2]: https://www.youtube.com/watch?v=quFhQvizBE8&t=4h35m15s
[3]: ./road-to-a-data-science-career
[4]: https://www.youtube.com/watch?v=-WCa_MjJZ9I
[5]: ./dask-machine-learning
[6]: https://www.youtube.com/watch?v=qglSZktDz40&t=1800s
[7]: ./lightgbm-road-to-cran
[8]: https://www.youtube.com/watch?v=xA7l7N2ktFk&feature=youtu.be&t=6236
[9]: ./people-shape-software
[10]: https://www.youtube.com/watch?v=quFhQvizBE8&t=2h24m30s
[11]: ./proliferation-of-new-database-technologies
[12]: https://dominodatalab.wistia.com/medias/0z04na8njm
[13]: ./economics-as-a-science
[14]: ./economic-consulting
[15]: ./cloud-intro
[16]: https://www.youtube.com/watch?v=495GqB_xcqE
[17]: ./chi-r-collab-httr
[18]: ./econ-learn-data-science
[19]: ./recent-developments-in-lightgbm
[20]: https://www.youtube.com/watch?list=PLVwJeG_Q73i7UpMciUK7ckTD8zQc7oT0W&v=5nKSMXBFhes&feature=emb_title
[21]: https://www.youtube.com/watch?v=vajaT1FNP6I
[22]: https://www.youtube.com/watch?v=hK4fiXz8zXM
[23]: ./r-from-the-command-line
[24]: https://www.youtube.com/watch?v=5kmUE-qHziA
[25]: https://www.youtube.com/watch?v=8kKVrJC7op4
[26]: ./comparing-lightgbm-to-other-r-gbdt-libraries
[27]: https://www.youtube.com/watch?v=z64JFJQR_J0
[28]: ./prefect-in-5-minutes
[29]: ./how-distributed-lightgbm-on-dask-works
[30]: https://zoom.us/rec/share/2MDNheUjidMT7EOcVuD0qnCph3OGnk9Wjf6QZo-8YLO95bzCEHaiDH6I5LmeqXE.Y87S6St0o2DuG29G
[31]: https://www.youtube.com/watch?v=z7v40C99wO4&t=3415s
[32]: ./you-can-and-should-do-open-source
[33]: https://www.youtube.com/watch?v=ObzrXjqWcTY&t=9200s
[34]: ./dask-lightgbm-short-talk
[35]: https://www.youtube.com/watch?v=Yh-jK497VZU
[36]: ./building-for-small-data-science-teams
[37]: https://www.youtube.com/watch?v=yAsPfhI5Jd8
[38]: ./every-way-spothero-uses-python
[39]: https://www.youtube.com/watch?v=d5iZONHGQT0&t=38m34s
[40]: ./does-that-csv-belong-on-pypi
[41]: https://www.youtube.com/watch?v=-Jqx5QxaNmA&list=PLYx7XA2nY5GcuVaU-l1hPOFgtnhmcHZzC&index=10&t=3h24m50s
[42]: ./from-open-source-to-traditional-ml
[43]: https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/from-open-source-to-traditional-ml-with-james-lamb-ml-138
[44]: https://opendatascience.com/scaling-lightgbm-with-dask/
[45]: https://mlops.community/james-lamb-machine-learning-engineer/
[46]: https://onceamaintainer.substack.com/p/once-a-maintainer-james-lamb
[47]: ./those-tables-were-empty