Check Out the First Data Science in Production Magazine
Taking models into production requires a professional workflow, high quality standards, and scalable code and infrastructure. This magazine is dedicated to reaping benefit from data by taking data driven applications into production.
Many organisations develop successful proof of concepts but then don’t manage to materialize the models beyond their laptops. Taking models into production requires a professional workflow, high quality standards, and scalable code and infrastructure. Data Science in Production is dedicated to reaping benefit from data by taking data driven applications into production.
Like the magazine? Leave your email address and we'll notify you when the next edition is published.
In This Magazine
In this first issue of Data Science in Production, Giovanni Lanzani discusses how organizations should avoid the Kaggle-curse in their journey to swiftly reach the production milestone. Henk Griffioen discusses the first step to get there: how to structure a (Python) project. Rodrigo Agundez deep dives into recently open-sourced Facebook Prophet, comparing it with his very own hand-crafted models (you will not believe what he found!).
Open source is also about giving back and that is what we try to do as much as we can: from the various Meetups we organize to the PyData Amsterdam conference. There is something, that is rarely emphasized: we contribute actively to the open source projects we love. In this first edition, we highlighted a few of our contributions to the open source world!
Hopefully, after reading this magazine, you are one step closer to becoming a Data Driven organization. Enjoy reading the articles and as always, we appreciate your feedback!
Follow us for more of this
GoDataDriven open source contribution: December 2018 edition
January 14, 2019
Using the Airflow Experimental Rest API to trigger a DAG
January 12, 2019
Apache Airflow graduation as Apache Top-Level
January 08, 2019
Data Survey 2018/2019 - Data 50
January 07, 2019
Use a SSH-key to access your cloud resources with socks-proxy
December 31, 2018
Looking Back at our Deep Learning Frenzy
December 28, 2018