Machine Learning for Autonomous Vehicles • Oscar Beijbom & Prayson Daniel

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 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

Bluesky
Twitter
Instagram
LinkedIn
Facebook

CHANNEL MEMBERSHIP BONUS
Join this channel to get early access to videos & other perks:
https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/join

Looking for a unique learning experience?
Attend the next GOTO conference near you! Get your ticket: gotopia.tech

SUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!