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About Hands On Machine Learning With Scikit Learn and Tensorflow
This document provides an overview of moving machine learning models from experimentation to production. It discusses the importance of staffing a machine learning team with both data scientists and machine learning engineers. It notes that while Jupyter notebooks are useful for initial exploration, they are not ideal for production environments due to issues with reproducibility and dependency management. The document recommends moving from notebooks to regular Python scripts for production code and discusses tools for building reproducible experiments.
Detailed Information
| Author: | ['sumasuthan'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 31 |
| Language: | English |
| Format: | |
| Price: | FREE |
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