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Klaviyo Data Science Podcast EP 15 | Books every data scientist should read (vol. 2)

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Manage episode 317314461 series 3251385
Content provided by Klaviyo Data Science Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Klaviyo Data Science Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

(More) required reading for data science

A question we frequently get asked is: what books should I read to be a better data scientist/machine learning engineer? This may not surprise you, but there isn’t just one answer — in fact, we spent an entire episode talking about three ways to level up your data science knowledge and skills. This month, we’re back with three more:

  • One of the foremost foundational texts for understanding machine learning models in a statistical way
  • A survey course for a broad variety of machine learning models, with the opportunity to go in depth on topics like deep learning
  • A foundational text in designing and analyzing experiments — both in ideal scenarios and in cases where the standard assumptions aren’t met

Mentioned this episode

We discuss the following books and courses in this episode:

About Klaviyo

Klaviyo helps growth-focused ecommerce brands drive more sales with super-targeted, highly relevant email, Facebook, and Instagram marketing. Interested? We’re always looking for great people to join our team.

Who’s who

Edited by: Michael Lawson

Logo by: Griffin Drigotas, Ally Hangartner from Klaviyo Design

  continue reading

58 episodes

Artwork
iconShare
 
Manage episode 317314461 series 3251385
Content provided by Klaviyo Data Science Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Klaviyo Data Science Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

(More) required reading for data science

A question we frequently get asked is: what books should I read to be a better data scientist/machine learning engineer? This may not surprise you, but there isn’t just one answer — in fact, we spent an entire episode talking about three ways to level up your data science knowledge and skills. This month, we’re back with three more:

  • One of the foremost foundational texts for understanding machine learning models in a statistical way
  • A survey course for a broad variety of machine learning models, with the opportunity to go in depth on topics like deep learning
  • A foundational text in designing and analyzing experiments — both in ideal scenarios and in cases where the standard assumptions aren’t met

Mentioned this episode

We discuss the following books and courses in this episode:

About Klaviyo

Klaviyo helps growth-focused ecommerce brands drive more sales with super-targeted, highly relevant email, Facebook, and Instagram marketing. Interested? We’re always looking for great people to join our team.

Who’s who

Edited by: Michael Lawson

Logo by: Griffin Drigotas, Ally Hangartner from Klaviyo Design

  continue reading

58 episodes

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