![DataTalks.Club - Approach Learning as ML Project - Vladimir Finkelshtein [mini]](https://storage.googleapis.com/goodpods-images-bucket/episode_images/fc38fdee620e76758f8a850e989c3e689759fa3b43d99f2b31faf0df32110324.avif)
Approach Learning as ML Project - Vladimir Finkelshtein [mini]
08/06/21 • 13 min
We don't have an episode lined up for this week, but we recorded a small chat with Vladimir some time ago. Enjoy it!
We talked about:
- Vladimir's background
- Learning by answering questions
- Don't be afraid of being wrong
- Winnings books
- Learning random things
- Approach learning as a machine learning project
Links:
- Vladimir on LinkedIn: https://www.linkedin.com/in/vladimir-finkelshtein/
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
We don't have an episode lined up for this week, but we recorded a small chat with Vladimir some time ago. Enjoy it!
We talked about:
- Vladimir's background
- Learning by answering questions
- Don't be afraid of being wrong
- Winnings books
- Learning random things
- Approach learning as a machine learning project
Links:
- Vladimir on LinkedIn: https://www.linkedin.com/in/vladimir-finkelshtein/
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
Previous Episode
Humans in the Loop - Lina Weichbrodt
We talked about:
- Lina’s background
- What we need to remember when starting a project (checklists)
- Make sure the problem is formalized and close to the core business
- Get the buy-in with stakeholders
- Building trust with stakeholders
- Don’t just focus on upsides – ask about concerns
- Turning a concert into a metric
- What happens when something goes wrong?
- Post mortem reporting
- Apply the 5 why’s
- If a lot of users say it’s a bug – it’s worth investigating
- Post mortem format
- Action points
- Debugging vs explaining the model
- Are there online versions of checklists?
- Make sure to log your inputs
- Talking to end-users and using your own service
- Your ideas vs Stakeholder ideas
- Should data practitioners educate the team about data?
- People skills and ‘dirty’ hacks
- Where to find Lina
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
Next Episode
Launching a Startup: From Idea to First Hire - Carmine Paolino
We talked about:
- Carmine’s background
- Carmine’s startup FreshFlow
- Doing user research
- Design thinking
- Entrepreneur first
- Finding co-founders: the “expertise edges” framework
- The structure of the EF program
- Coming up with the idea
- How important is going through a startup accelerator?
- Finding your first client
- Finding investors
- Consequences of having a bad investor
- Splitting responsibilities between co-founders
- Hiring
- The importance of delegating
- Making work attractive to hires
- Plans for the future
- Just-in-time supply chain
- What would you have done differently?
- Advice for people starting a startup
- Don’t focus on skills only
- Getting motivation
- Am I ready for a startup?
- Importance of a business school
- Advice on finding a co-founder
- Do I need EF if I already have an idea?
- Having a prototype before the pitch
Books:
- The Mom Test by Rob Fitzpatrick
- Design Thinking by Robert Curedale
Links:
- FreshFlow: https://freshflow.ai/
- Carmine's LinkedIn: https://www.linkedin.com/in/carminepaolino
- Carmine's Twitter: https://twitter.com/paolino
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
If you like this episode you’ll love
Episode Comments
Generate a badge
Get a badge for your website that links back to this episode
<a href="https://goodpods.com/podcasts/datatalksclub-172386/approach-learning-as-ml-project-vladimir-finkelshtein-mini-15945779"> <img src="https://storage.googleapis.com/goodpods-images-bucket/badges/generic-badge-1.svg" alt="listen to approach learning as ml project - vladimir finkelshtein [mini] on goodpods" style="width: 225px" /> </a>
Copy