NormConf: The Normcore Tech Conference

Yes, it's really happening it really happened!

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🗒️ Details 🗒️

  • Thursday, 15 Dec 2022
  • Online
  • Cost: FREE
  • 12:30 UTC - 04:00 UTC
  • 07:30 EST - 23:00 EST
  • Full schedule

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📕 The Speaker Store 📕

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🗓️ Schedule 🗓️

Session 1

UTC EST PDT JST Speaker Talk Title Transcript
12:30 7:30 AM 4:30 AM 21:30 Keynote
13:00 8:00 AM 5:00 AM 22:00 Group-by statements that save the day
13:30 8:30 AM 5:30 AM 22:30 Five semesters of linear algebra and all I do is solve Python dependency problems
14:00 9:00 AM 6:00 AM 23:00 NLP tips and tricks
14:30 9:30 AM 6:30 AM 23:30 How small can I get that Docker container?
15:00 10:00 AM 7:00 AM 00:00 Spark horror stories from the field
15:30 10:30 AM 7:30 AM 00:30 Geriatric data science: life after senior
16:00 11:00 AM 8:00 AM 01:00 A Game of Construction
16:30 11:30 AM 8:30 AM 01:30 Hack your way to a better API

Session 2

UTC EST PDT JST Speaker Talk Title Transcript
17:00 12:00 PM 9:00 AM 02:00 What's the simplest possible thing that might work, and why didn't you try that first?
17:30 12:30 PM 9:30 AM 02:30 It's all about cost: how to think about machine learning products
18:00 1:00 PM 10:00 AM 03:00 ML doesn't always replace rules, sometimes they work together
18:30 1:30 PM 10:30 AM 03:30 All my machine learning problems are actually data management problems
19:00 2:00 PM 11:00 AM 04:00 Three cheers for OpenAPI 3
19:30 2:30 PM 11:30 AM 04:30 Ethan Rosenthal and the M1 misadventure
20:00 3:00 PM 12:00 PM 05:00 Data is the new o̶i̶l̶ coffee
20:30 3:30 PM 12:30 PM 05:30 How to translate to PM speak and back
21:00 4:00 PM 1:00 PM 06:00 Tracer bullets + working backwards: simple framework for solving problems
21:30 4:30 PM 1:30 PM 06:30 When not to use SQL

Session 3

UTC EST PDT JST Speaker Talk Title Transcript
22:00 5:00 PM 2:00 PM 07:00 ☕ Coffee/Nutella Break 🌰🍫 ☕ Take a break! 🍵🚽
22:30 5:30 PM 2:30 PM 07:30 Building an HTTPS Model API for Cheap: AWS, Docker, and the Normconf API
23:00 6:00 PM 3:00 PM 08:00 Data's desire paths: shortcuts and lessons from industrial recommender systems
23:30 6:30 PM 3:30 PM 08:30 How many folds is too many? Efficient simulation for everyday ML decisions
00:00 7:00 PM 4:00 PM 09:00 The zen of tedium
00:30 7:30 PM 4:30 PM 09:30 Data ethics: the non-sexy parts
01:00 8:00 PM 5:00 PM 10:00 How should I represent the intermediate thing? Python data objects for normcore ML
01:30 8:30 PM 5:30 PM 10:30 I'd have written a shorter solution but I didn't have the time
02:00 9:00 PM 6:00 PM 11:00 The physics of data
02:30 9:30 PM 6:30 PM 11:30 Just use one big machine for model training and inference
03:00 10:00 PM 7:00 PM 12:00 Data-Driven promotions
03:30 10:30 PM 7:30 PM 12:30 Don't do invisible work

⚡️ Lightning Talks ⚡️

YouTube Playlist Now Here!

Click on each talk title to view it individually
Speaker Talk Title
Minimizing the Cost Function in Data Projects
(or, Keep it Simple, Stupid)
Qualify: The SQL Filtering Pattern You Never Knew You Needed
Intro to PDF Text & Table Extraction
Config files for fast and reproducible ML experiments
You Don't Need ML for That Problem
Toss that(model) in an endpoint
Dull, Dry and Indispensable:
Documentation Do's and Don'ts for Data Scientists
Why Are You The Way That You Are: Sklearn Quirks
A Case for Beauty in IT
Have you tried rubbing a hash on it?
Alaska challenged my preconceived notions of storing sunset data
How to Make Six Figures an Hour
How to name files like a normie
IPython Profiles: Big Bag o’ Functionality
Trying to convince academics to use git
The Accuracy is Too Damn High!
Model Evaluation in COBOL
The night I accidentally killed a Kubernetes service
and realized 3 days later
Metrics Are Born at Sea But Stored In the Cloud
random.randint(5, 12) lessons I learned
as a Data Scientist in 5 years in industry
Much Ado About Nothing
Everything is on fire and you get to contribute
Is "Data Happiness" even Possible?
A tale of Product Analytics as a Product
Data Science Intake Forms
PyScript: Run Python in your HTML
How to stop crying when using Matplotlib
Hell is other people's bugs
Putting Git's commit hash in __version__, two ways
Data goalie: keeping pucks out of the net
Persistent SSH Sessions w/ tmux
Hotkeys for Spreadsheets Cookbook
Practical Solutions from CTRL-Arrow, to F4

🚪Hallway Track 🚪

YouTube Playlist

Click on each talk title to view it individually

💰 Sponsors 💰

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🥉 Bronze Sponsors

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🏅 Individual Sponsors

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📖 About 📖

NormConf is the tech conference about all the stuff that matters in data and machine learning, but doesn't get the spotlight.

It was once said that a single tweet could launch a thousand ships, and so it was for NormConf:

What if there were a conference about all the mundane, behind-the-scenes, how-the-sausage-is-made, middlebrow, unsexy, normcore stuff in the data and ML parts of the tech world?

We thought there should be!

NormConf: The Normcore Tech Conference

📠 Contact 📠

Code of Conduct

NormConf wants everyone involved to have the best conference experience possible. We expect everyone to learn and enjoy themselves while treating others respectfully.

See our Code of Conduct for details.