My Databricks Handbook
After years of building in-house ML platforms, we migrated to Databricks in December 2024. This handbook shares practical tips and tricks for working with the...
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After years of building in-house ML platforms, we migrated to Databricks in December 2024. This handbook shares practical tips and tricks for working with the...
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A comprehensive overview of matrix factorization techniques for recommender systems, from SVD to deep learning approaches, with practical implementation tips.
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Tackle the cold start problem in recommender systems using transformers. Build a Marvel Snap deck recommendation system handling new cards with embedding techniques.
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For a few months, I wanted to test DVC, a toolkit around versioning for ML projects built by iterative. I tried it a bit at...
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I focused on this topic for the past three years at Ubisoft, but I never found suitable datasets to use for experiments on my blog...
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I wanted to write for a few weeks around ml/ds libraries that I have on my backlog of things to try. One article per library...
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In this article, there will be an overview of the service of AWS Sagemaker. The idea will be to see from my DS perspective how...
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In this article, I am going to present some of my findings on my exploration of TensorFlow, the idea will be with TensorFlow to build...
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For this article, I am going to describe my hands-on on a new library that has open-sourced recently by Netflix to operate and version machine...
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The version used for this article is mlflow 1.4.0
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Since I published the article on the London smart meter and the possible analysis of the data, I am receiving regularly messages of people that...
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