OP here, happy to answer any questions
hey, i'm the OP and would love to discuss / answer any questions also, another shout out to the OpenAI and YC teams for their great feedback
To persist sparse models to the DB, especially if you use L1 regularization (like Lasso) then many coefficients will be 0, and don't need to be stored or processed. Insofar as you store coefficients and features in a…
Agreed, that wasn't worded well - i'll try to explain. By 'employees in the field' we mean people who work in operations and management roles in the cities we operate in. They work with shoppers in stores and respond to…
We use R in production in two ways: 1. For batch processes that run daily, hourly or minutely, where the models are rebuilt on every run, and outputs (often predictions) are written to a database 2. For computation of…
re-reading what I wrote I can see how it comes off as canned - thanks for the feedback
I find that great data scientists care a tremendous amount about the problems they tackle and the impact they have, and less so the specific methods used. But we will definitely write more in the future on details. Here…
We've worked hard to open source projects whenever we think they'll be useful broadly: https://www.instacart.com/opensource. There is definitely more of this we can (and I hope will) do in the future.
We work hard to get back to candidates quickly - in some cases the same day as they interview, but at least the day after if not. We know the market is very competitive and want candidates to make the best decisions…
Behind the scenes, Instacart is a revolutionary new e-commerce marketplace, an incredibly sophisticated last-mile logistics engine, and a dynamic source of work for thousands of personal shoppers. Each of these aspects…
OP here, happy to answer any questions
OP here, happy to answer any questions
hey, i'm the OP and would love to discuss / answer any questions also, another shout out to the OpenAI and YC teams for their great feedback
To persist sparse models to the DB, especially if you use L1 regularization (like Lasso) then many coefficients will be 0, and don't need to be stored or processed. Insofar as you store coefficients and features in a…
Agreed, that wasn't worded well - i'll try to explain. By 'employees in the field' we mean people who work in operations and management roles in the cities we operate in. They work with shoppers in stores and respond to…
We use R in production in two ways: 1. For batch processes that run daily, hourly or minutely, where the models are rebuilt on every run, and outputs (often predictions) are written to a database 2. For computation of…
re-reading what I wrote I can see how it comes off as canned - thanks for the feedback
I find that great data scientists care a tremendous amount about the problems they tackle and the impact they have, and less so the specific methods used. But we will definitely write more in the future on details. Here…
We've worked hard to open source projects whenever we think they'll be useful broadly: https://www.instacart.com/opensource. There is definitely more of this we can (and I hope will) do in the future.
We work hard to get back to candidates quickly - in some cases the same day as they interview, but at least the day after if not. We know the market is very competitive and want candidates to make the best decisions…
Behind the scenes, Instacart is a revolutionary new e-commerce marketplace, an incredibly sophisticated last-mile logistics engine, and a dynamic source of work for thousands of personal shoppers. Each of these aspects…