• The Ex-Uber Data Scientist Who wants to simplify Data Science with Serverless Computing: Sina Kashuk

  • 2024/10/15
  • 再生時間: 1 時間 9 分
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The Ex-Uber Data Scientist Who wants to simplify Data Science with Serverless Computing: Sina Kashuk

  • サマリー

  • Sina Kashuk is the co-founder & CEO of Fused, who wants to make iterating & deploying in Python faster with serverless computing. We break down what that actually means, why it matters and what data science workflows could look like over the next few years.

    This also isn’t Sina’s first company, a few years ago he started Unfolded.ai, focused on making visualisations for data scientists faster. The company was acquired by Foursquare in 2021.

    Sponsor: Beemaps by Hivemapper

    Get access to high quality, fresh map data at https://beemaps.com/minds
    Use promo code MINDS to get 50% off your API credits through Dec. 31 2024

    About Sina
    • Twitter
    • LinkedIn
    Shownotes

    Note: Links to books are Amazon Affiliate links. I earn a small commission if you buy any of these books.

    • My blogpost joining the team
    • Uber’s H3 tiling grid
    • Foursquare acquires Unfolded
    • AWS Lambda
    • My conversation with Ib Green
    • Fused.io
    • Book & Podcast recommendation
      • Awaken the Giant Within by Tony Robbins Affiliate Link
      • I’m pretty sure you can find Minds Behind Maps by yourself if you’re here
    Timestamps

    (00:00) - Intro
    (02:38) - Sponsor: Beemaps
    (03:55) - Hacking
    (06:07) - Fused.io
    (07:23) - Why run your algorithm in the cloud?
    (10:06) - Serverless computing
    (12:40) - Optimizing for iteration speed
    (18:52) - Breaking Fused into smaller parts
    (23:27) - "User Defined Functions: UDF"
    (31:08) - How do you make money?
    (31:56) - Why start companies?
    (42:41) - Convincing people to use your tools
    (49:44) - Speed isn't all: Train / Plane analogy
    (54:36) - Going beyond geospatial
    (57:33) - Building a team
    (59:54) - Podcast/book recommendation
    (01:01:11) - Building a Long Term Vision
    (01:06:59) - Support the podcast on Patreon

    • Support the podcast on Patreon
    • My Twitter
    • Podcast Twitter
    • Read Previous Issues of the Newsletter
    • Edited by Peter Xiong
    • Find more of his work
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あらすじ・解説

Sina Kashuk is the co-founder & CEO of Fused, who wants to make iterating & deploying in Python faster with serverless computing. We break down what that actually means, why it matters and what data science workflows could look like over the next few years.

This also isn’t Sina’s first company, a few years ago he started Unfolded.ai, focused on making visualisations for data scientists faster. The company was acquired by Foursquare in 2021.

Sponsor: Beemaps by Hivemapper

Get access to high quality, fresh map data at https://beemaps.com/minds
Use promo code MINDS to get 50% off your API credits through Dec. 31 2024

About Sina
  • Twitter
  • LinkedIn
Shownotes

Note: Links to books are Amazon Affiliate links. I earn a small commission if you buy any of these books.

  • My blogpost joining the team
  • Uber’s H3 tiling grid
  • Foursquare acquires Unfolded
  • AWS Lambda
  • My conversation with Ib Green
  • Fused.io
  • Book & Podcast recommendation
    • Awaken the Giant Within by Tony Robbins Affiliate Link
    • I’m pretty sure you can find Minds Behind Maps by yourself if you’re here
Timestamps

(00:00) - Intro
(02:38) - Sponsor: Beemaps
(03:55) - Hacking
(06:07) - Fused.io
(07:23) - Why run your algorithm in the cloud?
(10:06) - Serverless computing
(12:40) - Optimizing for iteration speed
(18:52) - Breaking Fused into smaller parts
(23:27) - "User Defined Functions: UDF"
(31:08) - How do you make money?
(31:56) - Why start companies?
(42:41) - Convincing people to use your tools
(49:44) - Speed isn't all: Train / Plane analogy
(54:36) - Going beyond geospatial
(57:33) - Building a team
(59:54) - Podcast/book recommendation
(01:01:11) - Building a Long Term Vision
(01:06:59) - Support the podcast on Patreon

  • Support the podcast on Patreon
  • My Twitter
  • Podcast Twitter
  • Read Previous Issues of the Newsletter
  • Edited by Peter Xiong
  • Find more of his work

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