Apple Privacy-Preserving Machine Learning Workshop 2022
Earlier this year, Apple hosted the Workshop on Privacy-Preserving Machine Learning (PPML). This virtual event brought Apple and members of… (more…)
Read more »Hack This: Make a Photo Filter with Machine Learning
Getting creative with neural networks is easier than you think.
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Much advocacy of Haskell, in general, boils down to type-safety and elimination of bugs. How boring. My personal experience is that bugs are trickier in Haskell and I can write bad code in an extraordinary variety of ways. I don’t code in Haskell to help ... (more…)
Read more »Machine Learning Engineering Book
This is companion wiki of the Machine Learning Engineering by Andriy Burkov. Machine Learning Engineering is the first book on practical aspects of building machine learning systems for production. (more…)
Read more »Exploring Optimizers in Machine Learning
A guide to the widely used Optimizer functions, and a breakdown of their benefits and limitations... (more…)
Read more »Quantifying Independently Reproducible Machine Learning
Many warn that Artificial Intelligence has a serious reproducibility crisis, but is it so? Some conclusions from the author's experience trying to replicate 255 papers. (more…)
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