talk-data.com talk-data.com

Filter by Source

Select conferences and events

People (5 results)

See all 5 →
Showing 2 results

Activities & events

Title & Speakers Event
Jack Blandin – guest

We talked about:

Jack’s background Transitioning from IC to management Lesson not taught in traditional school The importance of people’s perception, trust, and respect How soft skills are relevant to machine learning How to put on a salesman hat in machine learning management The importance of visuals and building a POC as fast as possible 1st Rule of Machine Learning – don’t be afraid to start without machine learning The importance of understanding the reality that data represents The importance of putting yourself in the shoes of customers The importance of software engineering skills in machine learning Where to find Jack’s content Jack’s next venture

Links:

Jack's LinkedIn profile: https://www.linkedin.com/in/jackblandin/

Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

AI/ML HTML
DataTalks.Club

Common misconceptions about machine learning in practice - Jack Blandin

About the event

Outline:

  • Common misconceptions about ML in practice
  • What makes projects succeed/fail
  • Technical problem framing
  • Other tips for success

About the speaker:

Jack Blandin began his career as a Software Engineer in 2015, transitioning into Data Science and Machine Learning in 2017. He has held various machine learning IC and leadership roles at Fi, Wayfair, Trunk Club, and GoHealth, managing teams ranging from 2 to 15. Currently, he is the VP of Data Science & Machine Learning at Fi. On November 15, 2023, he plans to start his own company, a hiring marketplace for data and machine learning professionals. His goal is to design a system that allows candidates to better showcase their actual ability and not need to rely on a resume. He is also currently completing his PhD in Computer Science and plans to finish in December 2023. His research focuses on machine learning, reinforcement learning, and algorithmic fairness.

​​DataTalks.Club is the place to talk about data. Join our slack community!

The Unwritten Rules for Success in Machine Learning
Showing 2 results