GOTO - The Brightest Minds in Tech

Machine Learning for Autonomous Vehicles • Oscar Beijbom & Prayson Daniel


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This interview was recorded for GOTO Unscripted.
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Read the full transcription of this interview here

Oscar Beijbom - Co-Founder at Nyckel
Prayson Daniel - Principal Data Scientist at NTT DATA

DESCRIPTION
Self-driving vehicles have been a hot topic for a while now and everyone is waiting for the next breakthrough. Prayson Daniel, principal data scientist at NTT DATA, and Oscar Beijbom, co-founder at Nyckel, stuck their heads together to review what type of machine learning data is needed to run an autonomous vehicle. Furthermore, they talked about topics such as security, language choices and when the time of deploying a model has come.

RECOMMENDED BOOKS
Phil Winder • Reinforcement Learning
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series)
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns
Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision
Aurélien Géron • Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow

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