Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
skadamat
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
23 ms
·
391.
▲
Can you use synthetic data for label balancing?
(datacebo.com)
1 points
by
skadamat
3y ago
|
0 comments
392.
▲
by
skadamat
3y ago
When working with tabular data, there are very few situations where absolute model performance is the only criteria that's important. In practice, the following are equally as important: - Explainability / debug-ability of models
393.
▲
by
skadamat
3y ago
Agreed that even Apple products have gotten confusing. But still 1-2 orders of magnitude less I feel than other laptops?
394.
▲
by
skadamat
3y ago
Definitely agree with the simplicity of purchasing an Apple computer compared to other laptop manufacturers. Headphone brands and monitor makers also suffer from this same fate :/
395.
▲
by
skadamat
3y ago
Right but in this case the AIR is the consumer model and it supports 2 displays while the base PRO supports 1. So it seems counter!
396.
▲
by
skadamat
3y ago
Simon -- have you played with Evidence.dev much?
397.
▲
by
skadamat
3y ago
In principle I agree. But the M3 chips are similar for the M3 Macbook Pro and M3 Macbook Air. The PRO laptop is the one that only supports 1 display while the AIR supports 2 with the lid closed. The M3 Pro has more space and is more ... pro
398.
▲
Base M3 MacBook Pro Only Supports 1 External Display
(support.apple.com)
3 points
by
skadamat
3y ago
|
2 comments
399.
▲
by
skadamat
3y ago
The WORST part is the 8GB Macbook Pro (base M3) doesn't support 2 external displays but this new Macbook Air (base M3) DOES. This is so confusing
400.
▲
by
skadamat
3y ago
I'm still very bummed with Apple's strategy in using # of supported external displays as a feature to gate laptops. I had to return a decently spec-ced M3 Macbook PRO 14" because it only supported 1 display (base M3) and pay
401.
▲
Slow Productivity by Cal Newport
(calnewport.com)
2 points
by
skadamat
3y ago
|
0 comments
402.
▲
by
skadamat
3y ago
This is an excellent deep dive! Love the depth here Vicki
403.
▲
by
skadamat
3y ago
Excel online still struggles to work with databases well . In classic disruption theory (the real theory by Clayton, not the TechCrunch 'disruption'), these products have less features but are simpler and can win the low-end of t
404.
▲
Wes McKinney: The Road to Composable Data Systems
(wesmckinney.com)
4 points
by
skadamat
3y ago
|
0 comments
405.
▲
by
skadamat
3y ago
Honestly, I'm really excited about this next generation of spreadsheet software. - Causal.app - Rows.com - Equals.com - and at least 50 others I've found I'm waiting for someone to create a really high performant spreadsheet
406.
▲
by
skadamat
3y ago
Hey there, we wrote an in-depth post on the BSL license and why we switched to it: https://datacebo.com/blog/sdv-bsl-license/ BSL is an _eventual_ open source license. 4 years after every version release, that cod
407.
▲
by
skadamat
3y ago
If people are looking for a quickstart: Colab notebook for generating single-table data: https://colab.research.google.com/drive/1F3WWduNjcX4oKck6Xkj... Colab notebook for generating multi-table data: https:/
408.
▲
Synthetic data generation for tabular data
(github.com)
58 points
by
skadamat
3y ago
|
12 comments
409.
▲
by
skadamat
3y ago
Different audience / use case. I've noticed that products often lean towards speaking to app builders (full stack swe's) or data builders (data analysts / scientists / data engineers). They require different mental
410.
▲
by
skadamat
3y ago
Surprised nobody in this thread mentioned "How Big Things Get Done". Fantastic read that talks about the challenges of big projects when they don't bring on the right people with existing expertise: https://www.ama
411.
▲
by
skadamat
3y ago
Yeah computation has more layers and sellers, it's not a perfect analogy but good enough I feel
412.
▲
by
skadamat
3y ago
Brilliant move by Microsoft. You want to be the one selling shovels during a gold rush, as they say?
413.
▲
by
skadamat
3y ago
Honestly it's so hard to compare Tableau and Superset. Tableau has every feature and bell / whistle imagine-able. But it's heavy, desktop oriented, and pricey. Superset is lightweight and open source, but only has 5% of the f
414.
▲
by
skadamat
3y ago
Apache Airflow, Kafka, Spark, ECharts, and many others are still going strong! It really depends on the project to be honest.
415.
▲
by
skadamat
3y ago
This might be what you're looking for: https://www.youtube.com/watch?v=kGfUIOK87V8
416.
▲
by
skadamat
3y ago
Metabase is a bit more user-friendly to be honest than Superset. Superset has a WAY more liberal license, so it's ideal for people who want to customize Superset and build data apps.
417.
▲
by
skadamat
3y ago
Well Redash got acquired so development stopped, biggest difference between Superset & Redash. Preset.io supports Superset still
418.
▲
by
skadamat
3y ago
No built-in thick semantic layer, compared to Looker. I wrote about Superset's semantic layer here: https://preset.io/blog/understanding-superset-semantic-layer... One popular option is to use dbt or Cube for the
419.
▲
by
skadamat
3y ago
I love Grafana but Grafana doesn't really support non-time-series visualization that well.
420.
▲
Bug in Seaborn Library Led to False Scientific Conclusion
(twitter.com)
2 points
by
skadamat
3y ago
|
0 comments
More ›