NVIDIA Accelerated Data Science – Module 2 of 24 Data Collection
Details
Join us for the second module of our ongoing series, focusing on the essentials of data collection. This module will cover a range of topics, including collecting and scraping data, popular scraping libraries, data annotation and quality, and utilizing SQLite for simple, effective storage. We’ll also provide a quick SQL refresher and discuss the impact of missing indexes. Alongside comprehensive lecture videos, practical labs will offer hands-on experience with data collection via APIs, data annotation in active learning, and GPU-accelerated SQL using BlazingSQL. Enhance your data collection skills and connect with fellow enthusiasts in this informative and interactive session.
We look forward to seeing you there!
Related topics
Machine Learning
Cloud Computing
CUDA: Compute Unified Device Architecture
Data Management
Nvidia
