All videos
All videos
Trained scikit-learn model refinery with open-source packages
July 15, 2021
How to create an AI-providing model from any tabular data? How to manipulate such a model? How to make the model available for your app?
These are the questions we would like to address during our presentation. Using open-source Python packages and AutoAI we will walk you through model creation, refactoring, and deployment. We will present the creation of a full scenario that would infuse AI into your app.
About the speakers
![Maria Oleszkiewicz](https://sphere.it/wp-content/uploads/2021/06/Screenshot-2021-05-24-at-16.08.42-M.-P.-150x150.png)
Maria Oleszkiewicz
Software Engineer at IBM
Maria Oleszkiewicz is a Python & Scala programmer. Currently, she is developing the Python API for IBM Watson Machine Learning. In her free time, she…
Read more
![Dorota Lączak](https://sphere.it/wp-content/uploads/2021/06/IBM_foto-Dorota-Lączak-150x150.png)
Dorota Lączak
Python Software Engineer at IBM
Dorota Lączak is a Software Engineer with 2 years of experience testing and developing on IBM Watson Machine Learning AutoAI components. She is enthusiastic about…
Read more
Other videos that you might like
![fallback image](https://img.youtube.com/vi/QA8puin8Fyo/hqdefault.jpg)
Collaborative Filtering Microservices on Spark
Rui Vieira, Sophie Watson
![fallback image](https://img.youtube.com/vi/Cp8aSRoMQFk/hqdefault.jpg)
What we’ve learned from creating Edward.ai
Tomasz Wesołowski
![fallback image](https://img.youtube.com/vi/BIA2835JEJA/hqdefault.jpg)
Big and smart data in the development of autonomous vehicles
Grzegorz Wyszyński
![fallback image](https://img.youtube.com/vi/UhSnHC04vYQ/hqdefault.jpg)
Implementing Machine Learning Algorithms for Scale-Out Parallelism
William Benton