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Machine Learning for Autonomous Vehicles

Offered By: GOTO Conferences via YouTube

Tags

GOTO Conferences Courses Data Science Courses Programming Languages Courses Machine Learning Courses Computer Vision Courses Reinforcement Learning Courses Autonomous Vehicles Courses Design Patterns Courses Model Deployment Courses

Course Description

Overview

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Explore the world of machine learning for autonomous vehicles in this insightful interview featuring Oscar Beijbom, co-founder at Nyckel, and Prayson Daniel, principal data scientist at NTT DATA. Delve into the types of machine learning data required to operate self-driving vehicles, and gain valuable insights on crucial topics such as security measures, programming language preferences, and determining the optimal time for model deployment. Discover recommended books to further your knowledge in reinforcement learning, data science, and machine learning design patterns. Learn from industry experts as they discuss the latest developments and challenges in the exciting field of autonomous vehicle technology.

Syllabus

Machine Learning for Autonomous Vehicles • Oscar Beijbom & Prayson Daniel


Taught by

GOTO Conferences

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