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data4lyfeon Who gets invited to the party?

I actually sent an email to the student newspaper but they didn't think the case was that strong.

Uber did attend the career fair for the CSE department however to recruit software engineers.

data4lyfeon Who gets invited to the party?

Something like this happened at UW. I remember going to a diversity career fair in 2015 and Uber had a booth there.

Turns out they were there to recruit drivers to drive for Uber.

data4lyfeon What is GPT-3? written in layman's terms

When is typical Hackernews commenter GPT-3 response bot coming out?

data4lyfeon Elon Musk: ‘Too many smart people go into finance and law’

Seems like a comment that was reserved for pre-2010s when medicine, law, and finance were the only ways to make six figures out of school.

Nowadays it seems more and more common that this phrase is "Too many smart people go into working on ad optimization".

data4lyfeon We Chat, They Watch

It's illuminating that you think Asian diversity in media is Chinese propaganda.

data4lyfeon Medium-hard SQL interview questions

We try to surface the best SQL interview questions at Interview Query (https://www.interviewquery.com/)

data4lyfeon Data Science: Reality Doesn't Meet Expectations

There’s also the issue of data scientists just not having a seat at the table. Anyone can validate their point by using data to support their answer just like anyone can validate their opinion by doing a google search.

In my mind I see more data scientists being ignored or turned into “yes men”(https://www.interviewquery.com/blog-do-they-want-a-data-scie...)

data4lyfeon Ask HN: What is your blog and why should I read it?

https://datastream.substack.com/

I write about stuff you would find very boring. Do not read it.

data4lyfeon How Spotify ran a large Google Dataflow job for Wrapped 2019

One massive SQL query across a billion plus users.

data4lyfeon Show HN: Understand and improve your sleep health

You guys should have some more content. It's not believable at the moment that it's anything more than the typical stuff I read about on the internet.

Think podcasts, long-form testimonials, what it's about, etc...

data4lyfeon Show HN: Thread – Ad-free social networking and iMessage alternative

This is super cool. How long did it take you to build it.

data4lyfeon Using Spotify data to predict what songs will be hits

"90% based on which artist made the song"

Doesn't that demonstrate that the actual business case of producers discovering new artists doesn't even factor into the model's case of discovering which new songs will actually be hits.

It seems like the former is much harder than the latter in this case.

data4lyfeon Show HN: Real world (Jupyter notebook embed) way to assess data scientists

I am in the camp to think that this notebook judges data scientists in a way that soon will be obsolete.

If I'm given this clean dataset with all of the features properly set in columns and data types labeled, I could spin up Azure or Google Cloud's ML capabilities and have them run gridsearch and optimize my model.

To test data scientists, it seems like it's generally falling more into the buckets of people that can pull analytics and query databases to create the datasets and features OR people that can build the infrastructure to serve models, engineer pipelines, etc...

FYI though we're working on this now at https://www.interviewquery.com to try to start creating suitable tests to assess data scientists without having them do 10+ take homes every month.

data4lyfeon Oracle directors give blessing to shareholder lawsuit against Larry Ellison

I need the simple English version on what exactly this lawsuit is about.

data4lyfeon Machine Learning and Data Science Applications in Industry

It's created by firm.ai so there's general corporate interest?

data4lyfeon I wasn’t getting hired as a data scientist, so I sought data on who is

Data science is so obscure the author is right to point out how there's a real difference between what a data scientist actually does and what he needs to do to actually get a job in data science. If you can write queries and understand product metrics, that's about half of all of the data science jobs and interviews.

But IMO the field is getting to a point where the engineers are going into machine learning because it's a pay bump and the data analysts are realizing they can start calling themselves data scientists with some more experience under their belt.

Ultimately the field is saturating to where people are now going into this field as an easy way to hit six figures. You see that with the rise of the data science bootcamps but I digress as I wrote more about it here: https://www.interviewquery.com/blog/the-saturation-of-data-s...

data4lyfeon I don’t hire Junior data-scientists

Does anyone have the cached view of this before it was deleted?

data4lyfeon Data scientists shouldn't use Upwork

If Upwork will disqualify you for payment for not fulfilling a set of rules in a rather than look into the source of the dispute as a misunderstanding from a completion, I find that in bad faith and a terrible customer support experience.

data4lyfeon Data scientists shouldn't use Upwork

Here's the post on medium. https://medium.com/@jayfeng/why-no-one-should-never-use-upwo...

data4lyfeon Pocket’s 30M Users Are Great for Publishers

Pocket is one of my most used apps on my iPhone. It's fantastic, simple, and best of all truly an app I believe the more time I put into it, the better I feel about how I've used my time, which I can't say for a lot of the social media and game apps that are out there today.

data4lyfeon Bootcamps vs. College

So triplebyte still can't infer anything about how well a software engineer performs on their job from the metrics that they are gathering though if they're basing performance on how well they do on their coding questions and interviews?