The Scaled ML Conference 2018

The ML “Avengers” (Image Source : Twitter)

RL Systems at RISE Lab — Ion Stoica [Slides]

Matroid — Reza Zadeh [Slides]

A Pod, the basic unit of K8s, is a collection of one or more containers [Image Source : Twitter]
Cat out of the bag [Image Source : Twitter]

Programming the 2.0 stack — Andrej Karpathy

Datasets vs Algorithms (Image Source : Twitter)
Karpathy explaining some speed-limit corner samples encountered by Tesla autopilots on a regular basis (Image source : Twitter)

ML Problems in Biomedicine— Jennifer Chayes [Slides]

Machine Learning Problems in Biomedicine (Source : Twitter)

Systems and Machine Learning — Jeff Dean [Slides]

TPUs available on beta [Image Source : NIPS’17]
ML Arxiv papers are outpacing Moore’s Law [Image source : NIPS’17]

Anima Anandkumar — Role of Tensors in Large-Scale Training [Slides]

Anima explaining multi-dimensionsional Tensors [Image source : Twitter]

Meta Learning and Self Play — Ilya Sutskever [Slides]

RL as cherry on top of the learning cake (Image Source : A New Path to AI)

Large Scale Deep Learning with Keras — Francois Chollet [Slides]

Keras usage is most dominant in the industry (both large companies and startups) and in the overall data science community. [Image Source : Twitter]

Hardware for Deep Learning — Bill Dally [Slides]

Rise of GPU Computing [Image Source : Nvidia Developer]

Graphcore — Simon Knowles

ML at Facebook : An Infrastructure View — Yangqing Jia [Slides]

Infrastructure for the an army of models [Source : Twitter]

--

--

--

Machine Learning Engineer at Adobe

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

GloVe and fastText — Two Popular Word Vector Models in NLP

Efficient PyTorch — Supercharging Training Pipeline

Qualifying Image Quality — Part 2

Pytorch vs Tensorflow 2021

Fruits Classification using CNN and PyTorch

Scala API for Deep Learning Inference Now Available with MXNet v1.2

Wallaroo’s Answer to Containerization Problems

A Close Look on Modelling Blood Cells

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Pramod Srinivasan

Pramod Srinivasan

Machine Learning Engineer at Adobe

More from Medium

The One with End-to-End MLOps Infrastructures

Machine Learning Operations (MLOps) — Part2

Effective Comparison of Unconstrained Optimization Algorithms

Experiences with GitHub Copilot for Machine Learning Engineering