Play allTraining and serving models
51 videos • 45 hr 15 min
Part of AI and machine learning. Ordered by how many people recommended each video and for how long; 2 are classics.
1 2 3 4 5 6 Ali Rahimi's talk at NIPS(NIPS 2017 Test-of-time award presentation)
ObservantVids
Recommended by 3 •
Classic7 Machine Learning and Data Science in Clojure: Presented by Aria Haghighi
Amperity
Recommended by 2 •
Hidden gem8 Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333
Lex Fridman
Recommended by 3 •
9 10 The Intersection of Machine Learning, Types and Testing
Compose Conference
Recommended by 2 •
Hidden gem11 12 13 14 Free $2000.00 USD Databricks Course for Data Engineers and Data Scientists (Spark and ML) 22-June-21
Stream2Learn
Recommended by 1 •
15 16 17 18 19 Slinky: Slurm in Kubernetes, Performant AI and HPC Workload Management in Kubernetes - Tim Wickberg
CNCF [Cloud Native Computing Foundation]
Recommended by 1 •
20 21 22 Using Visual Studio ML builder to Create HBO's Silicon Valley's See Food App
Coding Flamingo
Recommended by 1 •
23 Horace He: Building Machine Learning Systems for a Trillion Trillion Floating Point Operations
Jane Street
Recommended by 2 •
Recent pick24 Gradual tensor typing for practical machine learning in Haskell with Hasktorch
Breandan Considine
Recommended by 1 •
25 26 27 28 29 Kedro Projects and Iris Dataset Starter example
The Data Science Channel
Recommended by 2 •
Hidden gem30 FZ3 deep learning accelerator card based on Xilinx Zynq UltraScale+ ZU3EG
MYIR Electronics Limited
Recommended by 1 •
31 32 33 34 The impact of differentiable programming: how ∂P is enabling new science in Julia
ACM SIGPLAN
Recommended by 1 •
35 36 37 JuliaCon 2020 | ChainRules.jl | Frames Catherine White
The Julia Programming Language
Recommended by 1 •
38 39 40 Andrej Karpathy (Tesla): CVPR 2021 (see description for better quality version)
YarrowFlower
Recommended by 1 •
41 42 Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19)
TensorFlow
Recommended by 1 •
43 44 45 46 47 Managing complex data science experiment configurations with Hydra - presented by Michal Karzynski
EuroPython Conference
Top upload •
48 49 Oliver Cobb - Protecting Your Machine Learning Against Drift: An Introduction
EuroPython Conference
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50 From Model Serving To Distributed Inference: How Llm-d Evolves AI Platforms on… K. Yan & L. He
CNCF [Cloud Native Computing Foundation]
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51 Evolving KServe: The Unified Model Inference Platform for Both Predictive and... F. Spolti & J. Lee
CNCF [Cloud Native Computing Foundation]
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