Speaker
Until February 11:
✓ Transformation Day for free
✓ Team discounts
✓ Save up to £330
Until February 11:
✓ Transformation Day for free
✓ Team discounts
✓ Save up to £330
✓ Transformation Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save up to €870
Register now
✓ Transformation Day for free
✓ Raspberry Pi oder C64 Mini for free
✓ Bis zu 870€ sparen
Jetzt anmelden
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save over $840
Register now
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save over $840
Register now
Description
In recent years, we have gained an essential insight about the field of software development: DevOps is no longer a nice to have – it is absolutely necessary. A fast pipeline of Continuous Integration, Continuous Delivery, and Continuous Deployment delivers value to customers.
Delivering value and solving problems is also the goal of every machine learning model. However, building the model is the easy part. The real challenge is to build an integrated machine learning system.
You’ll leave this talk with an understanding of how we can apply learnings from "traditional" software engineering in a data science environment. You’ll learn how we can version, test, and monitor our model, our data, and all the other moving parts of our ML system. We will talk about different degrees of maturity in MLOps, the big picture of pipeline architectures, and the nitty-gritty details about why you don’t want to deploy your Jupyter notebooks to production. Also, we will explore weapons of choice for different parts of your ML system and common misconceptions about machine learning in production.
This Session belongs to the Diese Session gehört zum Programm vom LondonLondon program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .
This Session belongs to the Diese Session gehört zum Programm vom LondonLondon program. Take me to the program of . Hier geht es zum Programm von New York New York .
This Session belongs to the Diese Session gehört zum Programm vom LondonLondon program. Take me to the program of . Hier geht es zum Programm von Munich München .