Tag: machine learning

Data Science

Accelerating k-nearest Neighbors 600x Using RAPIDS cuML

k-Nearest Neighbors classification is a straightforward machine learning technique that predicts an unknown observation by using the k most similar known… 6 MIN READ
Data Science

An End-to-End Blueprint for Customer Churn Modeling and Prediction-Part 3

This is the third installment in a series describing an end-to-end blueprint for predicting customer churn. In previous installments, we've discussed some of… 12 MIN READ
Data Science

Sparse Forests with FIL

The RAPIDS Forest Inference Library, affectionately known as FIL, dramatically accelerates inference (prediction) for tree-based models… 6 MIN READ
Data Science

NLP and Text Processing with RAPIDS: Now Simpler and Faster

In this post, we will showcase performance improvements for string processing across cuDF and cuML, which enables acceleration across diverse text processing… 3 MIN READ
Data Science

Run State of the Art NLP Workloads at Scale with RAPIDS, HuggingFace, and Dask

This post explains how to leverage RAPIDS for feature engineering and string processing, HuggingFace for deep learning inference, and Dask for scaling out for… 6 MIN READ
Data Science

How to Build a Winning Deep Learning Powered Recommender System-Part 3

Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video streaming. 21 MIN READ