Savin Goyal - Human-Centric Approach to ML Infrastructure
For more talks and to view corresponding slides, go to scaledml.org, select [media archive].
Presented at the 5th Annual Scaled Machine Learning Conference 2020
Venue: Computer History Museum
scaledml.org | #scaledml2020
Видео Savin Goyal - Human-Centric Approach to ML Infrastructure канала Matroid
Presented at the 5th Annual Scaled Machine Learning Conference 2020
Venue: Computer History Museum
scaledml.org | #scaledml2020
Видео Savin Goyal - Human-Centric Approach to ML Infrastructure канала Matroid
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Joshua Bloom - Towards Physics-Informed ML Inference in AstrophysicsIon Stoica - ML for SystemsPete Warden - Running ML Models in less than 100KB on Embedded DevicesSimon Knowles - Specialized Deep Learning with GraphcoreFrancois Chollet - Large-scale Deep Learning with KerasSrinivas Narayanan - AI at Scale at FacebookMatei Zaharia - Scaling ML Development with MLflowWei Li – Intel: Scaling AI with Performance, Productivity, and SecurityIon Stoica - RL Systems @ RISELabDavid Aronchick – The SAME Project: A Cloud Native Approach to Reproducible Machine LearningAlyona Medelyan – Thematic: How to Start a Startup for AI EngineersKeshav Pingali – Katana Graph: Knowledge Graphs, Graph AI, & The Need For High-performance ComputingDawn Song - AI and Security: Lessons and Future DirectionsAdam D'Angelo - Machine Learning Trends and QuoraSimon Knowles - Design Considerations for Large Learning MachinesManuel Blum - Towards a Conscious AI: A Computer Architecture inspired by NeuroscienceLenore & Manuel Blum – Carnegie Mellon: A Theoretical CS Perspective on ConsciousnessDmytro Dzhulgakov – Meta AI: Scaling AI Through Usability - Lessons from PyTorchMatei Zaharia - MLflow: An IntroductionClement Farabet – NVIDIA: Scaling ML OPs for AV Development