DataHour: Unwritten Rules for Success in Machine Learning

DataHour: Unwritten Rules for Success in Machine Learning

29 Nov 202312:11pm - 29 Nov 202313:11pm

DataHour: Unwritten Rules for Success in Machine Learning

About the Event

In this presentation, the speaker will discuss some of the unwritten rules of ML success, based on his own career experiences. These are the things that are never taught in a classroom, but are essential for achieving success in the real world. He will share both technical and non-technical insights, and illustrate my points with short stories about my actual experiences.

For example, the speaker will discuss his most successful ML project, why it was successful, and how it impacted his career. He will also share stories about less successful projects, and what he learned from them.

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
  5. Best articles get published on Analytics Vidhya’s Blog Space

Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Jack Blandin

Jack Blandin

VP of Data Science at Fi

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. Most recently, he served as the VP of Data Science & Machine Learning at Fi. On November 15, 2023, he left to start his own company, a hiring marketplace for data and machine learning professionals. His research focuses on various aspects of machine learning, with a particular emphasis on reinforcement learning and fairness in machine learning.

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Registration Details

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