Photo by Andrey Sharpilo on Unsplash
  1. Running large scale inference jobs
  2. Pre-processing input data — and materializing it on disk as
    preparation for training

Optimize your deep learning training process by understanding and tuning data loading from disk to GPU memory

Photo by David Lázaro on Unsplash

image credit: https://www.ontotext.com/knowledgehub/fundamentals/what-is-inference/

Why you should read this post

Why ML needs its own flavour of dev. methodology and a partial, draft proposal for such a methodology

Photo by Denise Jones on Unsplash

TL;DR

  • ML teams working on complex projects need to battle the intrinsic challenges in ML, as well as the friction which arises from their multi-disciplinary nature which makes it hard to make decisions.
    A solid Development Methodology can help teams improve execution.
  • ML is different from standard software in its level…

Assaf Pinhasi

Machine Learning and Engineering Leader and consultant. https://www.linkedin.com/in/assafpinhasi

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