Explore anomaly detection techniques using Quix, Hugging Face, and InfluxDB in this conference talk from Conf42 ML 2024. Dive into data pipeline concepts, time series data types, and database solutions. Learn about integrating data pipelines in application architectures, using Quix for real-time processing, and implementing a robot machine simulator. Discover how to leverage MQTT subscribers, perform data science tasks, and transition to operational MLOps. Gain insights into Hugging Face's role in machine learning workflows and explore potential future directions. Conclude with practical next steps to implement these techniques yourself and engage in a Q&A session.
Using Quix, Hugging Face, and InfluxDB for Anomaly Detection
Overview
Syllabus
intro
preamble
agenda
anais dotis-georgiou
what are data pipelines?
piping with mqtt and pub/sub
hivemq - the most trusted mqtt platform
a critical component of modern data pipelines
time series data types
time series databases
influxdb 3.0
integrating data pipelines in application architectures
using quix
architecture
robot machine simulator
quix mqtt subscriber
data science
going operational
mlops - design, deploy & monitor
hugging face
where could we go next?
next steps - try it yourself
any questions?
Taught by
Conf42
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