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Erald David

@eraldds.bsky.social
17 followers 43 following 27 posts

Analytics @BukuWarung Avid reader. Random book quotes one at a time

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Erald David @eraldds.bsky.social · 10/01/2025
Flipping lower order bit
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Erald David @eraldds.bsky.social · 08/01/2025
I love how every article about Analytics kept screaming "Raise your technical skills. Learn platform!" but the OG book from Kimball mentioned (in the first 20 page of the book): "Yeah no, you're hybrid DBA and MBA"
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Erald David @eraldds.bsky.social · 18/12/2024
Unexplored Topic: Most startups (at least in Indonesia) currently take a Business-Market Fit-first approach, keeping all processes manual until they generate revenue, before committing precious resources (like engineering bandwidth) to properly productize their solutions.
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Chris @chris.blue · 16/12/2024
Last post of the year! S3, Parquet, Iceberg, and @duckdb.org are a great way to get customers their data.
materializedview.io
S3 Is the New SFTP
Customers want their data. A customer data lake is a great way to give it to them.
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Jenna Jordan @jennajordan.me · 15/12/2024
Book Club is happening - find all the details here: jennajordan.me/book-club/ #databs #datasky
jennajordan.me
Book Club | Jenna Jordan
The first rule of Book Club is we have fun talking about data/information & philosophy
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Jenna Jordan @jennajordan.me · 05/11/2024
The first book would have to be Data & Reality by Bill Kent (2nd ed of course). After that there are many potential options but I’ve wanted to have a book club for Data & Reality for so long that it has to be the first one. We could call it the “Data Philosophizing” book club or something.
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Andy Pavlo @andypavlo.bsky.social · 05/12/2024
For my last class this semester, I tried to cram our Advanced Database course into one lecture. We cover the following database systems in 60min: youtu.be/fr5lIchF6pw • Google Dremel / BigQuery • Snowflake • Amazon Redshift • Yellowbrick • Databricks Photon • @duckdb.org • TabDB
youtu.be
#25 - BigQuery + Snowflake + Redshift + Databricks + DuckDB (CMU Intro to Database Systems)
YouTube video by CMU Database Group
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Vicki @vickiboykis.com · 06/12/2024
Fantastic opportunity for ppl in #mlsky #databs #stats etc to write their own perspectives on how machine learning and engineering have changed over the course of your careers (see original link in the thread), especially last 5 years. Would love to read all of these posts!
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Erald David @eraldds.bsky.social · 01/12/2024
I just completed "Historian Hysteria" - Day 1 - Advent of Code 2024 #AdventOfCode adventofcode.com/2024/day/1
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Erald David @eraldds.bsky.social · 29/11/2024
It's crazy to think that Chicago become the center of modern finance because their geographic advantage and .....cow? What does analogy that fit into this case? On top of my head: it's like knowing your local IKEA become 3 Michelin star restaurant in the future... because they can cook meatball
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Jeremy Howard @howard.fm · 28/11/2024
FYI, here's the entire code to create a dataset of every single bsky message in real time: ``` from atproto import * def f(m): print(m.header, parse_subscribe_repos_message()) FirehoseSubscribeReposClient().start(f) ```
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Erald David @eraldds.bsky.social · 29/11/2024
Woahh idk about this. Very useful
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Olivier Grisel @ogrisel.bsky.social · 27/11/2024
I recently shared some of my reflections on how to use probabilistic classifiers for optimal decision-making under uncertainty at @pydataparis.bsky.social 2024. Here is the recording of the presentation: www.youtube.com/watch?v=-gYn...
A high-level summary diagram taken from the slides linked below. It shows the interplay of two main components: a probabilistic model and decision maker or planner.Probabilistic predictions of an underfitting polynomial classifier on a noisy XOR task and the corresponding under-confident calibration curve.Probabilistic predictions of an overfitting polynomial classifier and the resulting overconfident calibration curve on the same noisy XOR problem.Simulation study to show the relative lack of stability of hyperparameter tuning when using hard metrics such as Accuracy or soft yet not probabilistic metrics such as ROC AUC compared to a strictly proper scoring rule such as the log-loss.
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Martin Kleppmann @martin.kleppmann.com · 26/11/2024
Interesting critique of the problems with peer review. Unfortunately it fails to offer a proposal for what might be better. I'm reminded of the old adage “democracy is the worst form of government, except for all the others.” Likewise for peer review. www.experimental-history.com/p/the-rise-a...
experimental-history.com
The rise and fall of peer review
Why the greatest scientific experiment in history failed, and why that's a great thing
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feynon @ankeshbharti.com · 26/11/2024
Finished reading the book, last two chapters on the philosophical aspects of technology worship are great, and the material provides vivid conceptual clarity on bubble dynamics. However, overall, the book could have been much shorter.
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Jeremy Howard @howard.fm · 27/11/2024
I'm glad @hf.co is doing this. It brings down the barriers to allow more people to benefit from AI, rather than keeping it exclusively in the realm of deep pocketed giant companies. AI can help open the gates, to allow regular people to do things they couldn't do before. (Which can be threatening!)
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Erald David @eraldds.bsky.social · 24/11/2024
The number of banger quotes in 'Boom' by Byrne Hobart is staggering Few of my favorites (a note to myself)
Book cover of "Boom" from Stripe Press
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Cedric Chin @handle.invalid · 21/11/2024
One thing I’ve learnt about The Practice is that it takes time for other controllable levers to show up — and sometimes you’re limited by how rich your understanding of your causal model of your process is. This is limited by experience, instrumentation, and creativity.
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