Build a talking, face-recognizing doorbell for about $100
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Lukas Biewald
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.
Content
Build a super fast deep learning machine for under $1,000
The adventures in deep learning and cheap hardware continue!
How to build an autonomous, voice-controlled, face-recognizing drone for $200
More adventures in deep learning and cheap hardware.
How to build a robot that “sees” with $100 and TensorFlow
Adventures in deep learning, cheap hardware, and object recognition.
Organizing big data with the crowd
Using real-world cases, Lukas Biewald describes microtasking, where it fits in the crowdsourcing landscape, and how data scientists and developers can tap into the crowd to collect and process data sets.
Active learning: Best practices for creating labeled data sets
Learn simple ways to improve data models by cleaning up and tweaking the distribution of training data.