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
Stream processing in telco – case study based on Apache Flink & TouK Nussknacker
Maciek Próchniak
From Spark MLlib model to learning system with Watson Machine Learning
Łukasz Ćmielowski
pandas-stubs — How we enhanced pandas with type annotations
Joanna Sendorek, Zbyszek Królikowski
Probabilistic data structures for Kafka Streams
Mateusz Owczarek, Miron Ficak