Roi Yozevitch

Roi Yozevitch is an independent researcher at the computer science department at ariel university.
His fields of interest include artificial intelligence and autonomous vehicles. His theoretical research covers optimizations for Bayesian localization algorithms such as the Particle Filter.
In addition to his academic activities, he is also the author of 4 non-fiction books about productivity, learning in the 21st century, and intelligence. Dr. Yozevithc also runs a YouTube channel where he discusses scientific and philosophical ideas.

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Bayesian Algorithms for Self-Driving Cars (edX) EdX
IsraelX

Bayesian Algorithms for Self-Driving Cars (edX)

Computer Science

Dive into the world of advanced computer science with 'Bayesian Algorithms for Self-Driving Cars'. This course is tailored for those interested in understanding how modern autonomous vehicles navigate and localize themselves using cutting-edge Bayesian algorithms. Gain a deep understanding of the mathematical principles behind these technologies, which are crucial for the safe operation of self-driving cars.

Self Paced
Self-Paced
Algorithms Autonomous Vehicles Bayesian Methods
Details
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