madman2890

5 ms·

1.
Relational signal compression across your data lake(kurve.ai)
1 points by madman2890 6mo ago|0 comments
2.
by madman2890 6mo ago
with all of it? wow :)
3.
Why Most Valuable AI Systems Are Still Tabular Models
6 points by madman2890 6mo ago|2 comments
4.
Predictive AI with graphs and tabular foundation models(wesmadrigal.github.io)
2 points by madman2890 7mo ago|0 comments
5.
by madman2890 7mo ago
We need the government to release the alien technology to the public now.
6.
by madman2890 7mo ago
Glad you find it useful.
7.
Tabular data is the frontier – graphs can help
5 points by madman2890 7mo ago|2 comments
8.
Tabular Foundation Models Still Need One Thing: Multi-Table Aggregation(wesmadrigal.github.io)
2 points by madman2890 7mo ago|1 comments
9.
by madman2890 7mo ago
Tabular foundation models like TabPFN and related work are extremely promising. They’re starting to show strong results on many classical tabular ML benchmarks and can reduce the amount of manual modeling work required from data scientists.
10.
by madman2890 1y ago
“Smart developer’s quirks” tend to peak in 3-8 years of experience and fade off thereafter. A hipster will never fade off and instead continue hipster coding alongside their identity in perpetuity.
11.
by madman2890 2y ago
Way overdue, but finally got the docs up for my project graphreduce. Feedback, contributions, and stars welcome!
12.
Library for feature engineering across many table using graphs(wesmadrigal.github.io)
1 points by madman2890 2y ago|0 comments
13.
by madman2890 3y ago
In data pipelines or MLOps projects I've found that mirroring the code location in the artifact storage location, such as in object stores, to be a helpful pattern. This little lightweight library makes using this pattern a drop in fo
14.
by madman2890 3y ago
Taking numerous raw tables to a flat ML/AI ready feature vector can be a challenge. This is a lighter weight way of doing it than feature stores, if it may serve you!
15.
by madman2890 3y ago
I've found feature stores to be overkill for many projects, as I just need point-in-time correctness, abstractions for joining lots of tables and flattening to a specific granularity, and abstractions for composability. I've been
16.
Feature Engineering Abstractions with Graphs(github.com)
2 points by madman2890 3y ago|0 comments
17.
by madman2890 3y ago
An early release of the tech - an automation layer for discovering inclusion dependencies, building a graph of data where tables/files are nodes and foreign keys are edges between them.
18.
by madman2890 3y ago
working on a composable feature engineering abstraction for handling big pieces of FE pipelines: time travel, entity linkage, standardized interface, pluggable compute backends, and simplification of features with many tables
19.
by madman2890 3y ago
I've been working on a composable feature engineering abstraction with graphs. Feature stores are too heavy for most projects I work on, but are complementary nonetheless.
20.
by madman2890 3y ago
TLDR; graph data structures for feature engineering and data transformations - spark, dask, and pandas supported Best way to get started while docs are still lacking: https://github.com/wesmadrigal/GraphReduce/blob
21.
Show HN: built a feature engineering interface based on graphs(github.com)
1 points by madman2890 3y ago|1 comments
22.
by madman2890 3y ago
The gym
23.
by madman2890 3y ago
Alaska will soon be the most desirable state to live in.
24.
by madman2890 4y ago
Actually, the risk is stratified by age. With this entire pandemic, risk has been stratified by age, co-morbidities, etc. If you're a male under 40 years old your risk of myocarditis is higher from the vaccines. Not to mention, if yo
25.
by madman2890 4y ago
This part means that natural immunity outperforms vaccine immunity in protecting against reinfection and spread of COVID-19 over time. " Discussion Our study shows that the mRNA-containing LNP vaccines BNT162b2 and mRNA-1273 induce hig
26.
by madman2890 4y ago
Where is the farm at? I own one in Manizales, Colombia. We have around 25,000 trees.
27.
by madman2890 4y ago
Manizales, Colombia
28.
by madman2890 5y ago
I bought a coffee farm in Colombia. Annualized it makes around $800 / month and growing. Should double to $1600 / month next year as we’ve doubled our production. It’s barely profitable, but is profitable nonetheless. The more we
29.
by madman2890 5y ago
Make them provide you a machine. Don’t do any other work on the machine they provide.
30.
by madman2890 5y ago
Make them provide you a laptop. Then only do work for them on that laptop.

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