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
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
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
What we’ve learned from creating Edward.ai
Tomasz Wesołowski
Collaborative Filtering Microservices on Spark
Rui Vieira, Sophie Watson
DARTS – Unifying time series forecasting
Weronika Dranka
Lean AI – How to Implement a Production-Ready Deep Learning Model in Twelve Weeks
Dat Tran