10,000 data points is the threshold to start building machine learning models
Bindu Reddy · Fireside Chat: Bindu Reddy (Founder & CEO, Abacus.AI) with Matt Turck (Partner, FirstMark) · Apr 5, 2021 · at 21:00
Bindu Reddy, Founder & CEO of Abacus.AI, discusses early-stage machine learning adoption strategies for startups at Data Driven NYC.
0:00 / 0:05exact quote · 5.7s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“If you have 10,000 data points, that's my rule of thumb. If you have 10,000 data points, you're ready to build a model.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Bindu Reddy
95% of machine learning models at Google and Facebook are neural nets
“So if you look at a company like Google or Facebook, almost all of their models, like, 95% of their models are neural net based.”
Bindu Reddy considers H2O.ai and DataRobot to be non-competitors to Abacus.AI
“So if somebody actually knows our space, but HTO and data robot are really, we, I mean, maybe they consider themselves our competitors. We like to think of them as non-competitors. The reason for that is their real focus, as you probably may know, is on the au…”
Data processing and wrangling is the most problematic part of machine learning
“AutoML is one piece of this, which is finding the right model based on your data. We actually automate the whole end-to-end, and most of the chunk of the work we do is in the data processing wrangling management, which, you know, if you guys are a data scienti…”
Machine learning models for images and language will soon require less data
“So, ah, you know, I think the state of the art is moving very rapidly, ah, and so that you can, like, teach models with less and less data, and this will be the case for both images and language very soon.”