Speaker
Dr
Valentin Kuznetsov
(Cornell University (US))
Description
In this talk we'll cover materials and knowledge base of how to become a world
class Data Scientists. We'll use real kaggle competition dataset and build for it a set of ML models. During this session we'll introduce advanced concepts of
ML training, like feature embedding, data transformation and ML model
fine-tuning. We'll discuss how to work large datasets, techniques to avoid RAM
limitations problems, and how to create an ensemble of multiple ML models.
We'll use XGBoost library and Keras ML framework to build our models and
embeddings matrix. Even though the materials of this session is quite advance we
expect students to listen and follow up with introduced concepts.
Primary author
Dr
Valentin Kuznetsov
(Cornell University (US))
