EPISODE · Nov 11, 2022 · 42 MIN
Machine Learning for Autonomous Vehicles • Oscar Beijbom & Prayson Daniel
from GOTO - The Brightest Minds in Tech · host Oscar Beijbom, Prayson Daniel & GOTO
This interview was recorded for GOTO Unscripted.gotopia.techRead the full transcription of this interview hereOscar Beijbom - Co-Founder at NyckelPrayson Daniel - Principal Data Scientist at NTT DATADESCRIPTIONSelf-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 BOOKSPhil Winder • Reinforcement LearningKelleher & Tierney • Data Science (The MIT Press Essential Knowledge series)Lakshmanan, Robinson & Munn • Machine Learning Design PatternsLakshmanan, Görner & Gillard • Practical Machine Learning for Computer VisionAurélien Géron • Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlowBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!
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This interview was recorded for GOTO Unscripted. gotopia.tech 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 ...
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Machine Learning for Autonomous Vehicles • Oscar Beijbom & Prayson Daniel
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