In this episode, I sit down with Lukas Biewald of Crowdflower and we catch up on a very interesting and emerging topic of Human-In-The-Loop Machine Learning. 

My takeaways:

• What is Human-In-The-Loop Machine Learning and how can it you get the best out of your ML program?
• Origins of Human-In-The-Loop at scale
• How can C-Suite use Human-In-The-Loop Machine Learning

References:

You may connect with Lukas on his twitter or catch up with him at an event he is hosting in SF on May 17th: TrainAI event (awesome lineup of AI Trailblazers)

About Lukas:

Lukas Biewald is the founder of CrowdFlower. Founded in 2009, CrowdFlower is a data enrichment platform that taps into an on-demand workforce to help companies collect training data and do human-in-the-loop machine learning.

Following his graduation from Stanford University with a B.S. in Mathematics and an M.S. in Computer Science, Lukas led the Search Relevance Team for Yahoo! Japan. He then worked as a senior data scientist at Powerset, which was acquired by Microsoft in 2008.

Lukas was featured in Inc. magazine's 30 Under 30 list. Lukas is also an expert-level Go player.