Roman KazinnikinHow to turn your desktop into Machine Learning training platformHow to turn research code into production-grade and desktop into Machine Learning training platformBegin utilizing ML platform whether or not you have a clusterJan 2, 2023Jan 2, 2023
Roman KazinnikinHow to turn your desktop into Machine Learning training platformDiverse clouds and data centers. Single Machine Learning platform solution.Why diverse clouds?Nov 8, 2022Nov 8, 2022
Roman KazinnikActive learning: deduplication exampleGithub https://github.com/romankazinnik/romankazinnik_blog/tree/master/active_learningJun 2, 2021Jun 2, 2021
Roman KazinnikWhy we need TensorFlow Extended (TFX) — and how to get it in 3 stepsThere are two main considerations when it comes to adopting TFX: value and cost. I want to demonstrate the value of TFX and how it helps…Mar 2, 2021Mar 2, 2021
Roman KazinnikFrom Data Pipeline to Machine Learning Architecture in 3 simple picturesIn this post, I’ll do a side-by-side comparison of architectural patterns for the Data Pipeline and Machine Learning Pipeline and…Dec 3, 2020Dec 3, 2020
Roman KazinnikDistributed Hyperparameter Search in Kubeflow/Kubernetes: Keras Tuner vs. KatibAlthough Katib is a Kubeflow built-in Hyperparameter Search (HS), here is why I choose Keras-Tuner for distributed HS:Nov 19, 20201Nov 19, 20201
Roman KazinnikMachine Learning Distributed: Ring-Reduce vs. All-ReduceIn this blog post, I’d like to share some of the insights from my work at the High-Performance Computing (HPC) Texas Advanced Computing…Nov 18, 20201Nov 18, 20201
Roman KazinnikinHow to turn your desktop into Machine Learning training platformAn Ultimate Guide to Migrating Your Machine Learning to Kubeflow: 4 Steps Towards Excelling In…Introduction When you sit down to think about it: architects experiment and build models in AutoCAD, Geophysicists experiment and build…Nov 9, 2020Nov 9, 2020
Roman KazinnikMachine Learning as a Flow: Kubeflow vs. MetaflowBoth Kubeflow (2018, Google) and Metaflow (2019, Netflix) are great Machine Learning platforms for experimentation, development, and…Nov 9, 2020Nov 9, 2020
Roman KazinnikRecipe to Optimal Architecture for Convolutional Neural NetworksI will talk about convolutional neural networks and how you can optimize their architecture while eliminating redundancy. Let’s get…Jun 26, 2018Jun 26, 2018
