Guest
This interview was recorded for GOTO Unscripted. #GOTOcon #GOTOunscripted 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. TIMECODES 00:00 Intro 01:40 What kickstarted the autonomous vehicles trend? 06:11 ML for self-driving vehicles 09:21 Gathering data for training ML for autonomous cars 11:22 Real-world data collection for ML 17:09 Are we ready for autonomous cars? 21:37 A day in the life of a SW dev. building autonomous cars 26:27 Language choices 29:58 When is a model good enough for production? 35:25 Security & autonomous cars: Can hackers take control? 37:29 Nyckel: A ML platform 39:38 Will self-driving cars become a reality in the next 5 years? 41:43 Outro 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 • #DataScience #ML #AI #MachineLearning #ArtificialIntelligence #Programming #AV #AutonomousVehicles #SelfDrivingCar #SelfDrivingCars #AutonomousCar #AIModels #EthicalML #EthicalAI #Ethics #MachineEthics Looking for a unique learning experience? Attend the next GOTO conference near you! Get your ticket at SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily.
