Видео ютуба по тегу Inmar Givoni

Autonomous Vehicles-The Next Step Forward
Autonomous Vehicles-The Next Step Forward
Ускорение интеллекта с помощью алгоритмов генерации искусственного интеллекта с Джеффом Клуном - 602
Ускорение интеллекта с помощью алгоритмов генерации искусственного интеллекта с Джеффом Клуном - 602
Deep learning for self-driving vehicle technology - Inmar Givoni (Keynote)
Deep learning for self-driving vehicle technology - Inmar Givoni (Keynote)
Journey Through the Past Decade of AI - Inmar Givoni, Ex-Director of Eng at Uber ATG | CUCAI 2021
Journey Through the Past Decade of AI - Inmar Givoni, Ex-Director of Eng at Uber ATG | CUCAI 2021
A Conversation with Inmar Givoni
A Conversation with Inmar Givoni
Dr Inmar Givoni: AI in Canada
Dr Inmar Givoni: AI in Canada
Inmar Givoni @ Uber ATG- Deep Learning for Self Driving at Uber ATG
Inmar Givoni @ Uber ATG- Deep Learning for Self Driving at Uber ATG
See it Be it STEM it- Meet Inmar Givoni
See it Be it STEM it- Meet Inmar Givoni
AI Developments from Uber Advanced Technology Group - Inmar Givoni, Director Of Engineering
AI Developments from Uber Advanced Technology Group - Inmar Givoni, Director Of Engineering
Deep Learning for Self Driving At Uber - Inmar Givoni - at #AIGeeks
Deep Learning for Self Driving At Uber - Inmar Givoni - at #AIGeeks
Leading Women in Science 2018: Inmar Givoni
Leading Women in Science 2018: Inmar Givoni
TMLS2018 — Машинное обучение в производстве, панельная дискуссия
TMLS2018 — Машинное обучение в производстве, панельная дискуссия
Expectation Maximization, Gaussian Mixtures & Belief Propagation, OH MY! with Inmar Givoni - #101
Expectation Maximization, Gaussian Mixtures & Belief Propagation, OH MY! with Inmar Givoni - #101
Machine Learning for the rest of us (Inmar Givoni, Director at Kindred)
Machine Learning for the rest of us (Inmar Givoni, Director at Kindred)
Machine Learning and Big Data
Machine Learning and Big Data
SXSW 2017: How Machine Learning Differs From Regular Programming
SXSW 2017: How Machine Learning Differs From Regular Programming