[EuroPython 2018] Alejandro Saucedo - Industrial Machine Learning Pipelines With Python & Airflow - Info and Reading Options
"[EuroPython 2018] Alejandro Saucedo - Industrial Machine Learning Pipelines With Python & Airflow" and the language of the book is English.
“[EuroPython 2018] Alejandro Saucedo - Industrial Machine Learning Pipelines With Python & Airflow” Metadata:
- Title: ➤ [EuroPython 2018] Alejandro Saucedo - Industrial Machine Learning Pipelines With Python & Airflow
- Language: English
“[EuroPython 2018] Alejandro Saucedo - Industrial Machine Learning Pipelines With Python & Airflow” Subjects and Themes:
- Subjects: ➤ Best Practice - Deep Learning - Distributed Systems - Big Data - Machine-Learning - EuroPython2018 - Python
Edition Identifiers:
- Internet Archive ID: Europython_2018_iNLAWsR4
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"[EuroPython 2018] Alejandro Saucedo - Industrial Machine Learning Pipelines With Python & Airflow" Description:
The Internet Archive:
Industrial Machine Learning This talk will provide key insights on the learnings I have obtained throughout my career building & deploying machine learning systems in critical environments across several sectors. I will provide a deep dive on how to build scalable and distributed machine learning data pipelines using Airflow with a Celery backend. I will also compare Airflow with other technologies available out there and how it differentiates, such as Luigi, Chronos, Pinball, etc. If you attend the talk, you will obtain an understanding on the solid fundamentals of Airflow, together with its caveats and walk-arounds for more complex use-cases. As we proceed with the examples, I will cover the challenges that you will run into when scaling Machine Learning systems, and how Airflow can be used to address these using a manager-worker-queue architecture for distributed processing with Celery. By the end of this talk you will have the knowledge required to build your own industry-ready machine learning pipelines to process data at scale, and I will provide further reading resources so people are able to implement the knowledge obtained almost right away. Please see our speaker release agreement for details: https://ep2018.europython.eu/en/speaker-release-agreement/
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"[EuroPython 2018] Alejandro Saucedo - Industrial Machine Learning Pipelines With Python & Airflow" is available for download from The Internet Archive in "movies" format, the size of the file-s is: 1931.98 Mbs, and the file-s went public at Sat Nov 07 2020.
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- Source: Internet Archive
- All Files are Available: Yes
- Number of Files: 34
- Number of Available Files: 34
- Added Date: 2020-11-07 01:24:37
- Scanner: Internet Archive Python library 1.9.5
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