Why Classic Algorithms Still Matter in Modern Natural Language Processing | HackerNoon
Classic machine learning algorithms remain relevant despite advances in deep learning models like BERT due to resource limitations and practical complexity.
Time Series Feature Engineering in Apache Spark for Python with Scala
Feature engineering is crucial for unlocking insights from complex data sets.
Time series feature engineering requires specialized methods due to temporal dependencies.
Why Classic Algorithms Still Matter in Modern Natural Language Processing | HackerNoon
Classic machine learning algorithms remain relevant despite advances in deep learning models like BERT due to resource limitations and practical complexity.
Time Series Feature Engineering in Apache Spark for Python with Scala
Feature engineering is crucial for unlocking insights from complex data sets.
Time series feature engineering requires specialized methods due to temporal dependencies.
Airbnb Open-Sources its ML Feature Platform Chronon
Chronon, an open-source platform by Airbnb, streamlines data management for ML practitioners by supporting a variety of data sources and providing low-latency streaming features.
Datasets for Fine-Tuning Large Language Models, Prompt Engineering Use Cases, and How to Ace the...
Data science development toolkit
Building predictive marketing lists using feature engineering