We talked about:

How we make decisions with machine learning What is decision optimization  Specifying the decision function Emulation for making the best decisions Decision optimization and reinforcement learning Getting started with decision optimization Trends in the industry

Links:

https://datatalks.club/people/danbecker.html https://www.decision.ai/​

Join DataTalks.Club: https://datatalks.club/slack.html

We covered:

What is a feature store Problems it solves When to use a feature store  When not to use a feature store The main components When a team should start using a feature store 

Links:

Feast: https://feast.dev/ https://www.tecton.ai/blog/what-is-a-feature-store/  https://docs.greatexpectations.io/en/latest/reference/core_concepts.html

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We talked about 

open source getting started with open source convincing your employer to contribute to open source public speaking the checklist for open source projects the role of research advocate

And many more things!

Links from Vincent:

https://www.youtube.com/watch?v=68ABAU_V8qI&t=975s&ab_channel=PyData https://www.youtube.com/watch?v=kYMfE9u-lMo&t=958s&ab_channel=PyData https://koaning.io/projects.html https://calmcode.io/ https://makenames.io/ https://koaning.github.io/clumper/api/clumper.html

Join DataTalks.Club: https://datatalks.club​

We talked about:

The role of mentoring in career Looking for mentors and preparing for mentoring sessions as a mentee Becoming a mentor

And many other things! 

Links:

Rahul's profile on the mentoring club: https://www.mentoring-club.com/the-mentors/rahul-jain Rahul's article about mentoring: https://rahulj51.github.io/career/coaching/mentoring/2020/06/22/career-coaching.html

Join DataTalks.Club: https://datatalks.club