Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9
Introduction
00:00 • 2min
How to Use Open-Source Library Quick Streams in Projects That Involve Real-Time Machine Learning
01:30 • 2min
The Roots of the Open Source Library
03:35 • 2min
How Adejava and Python Integrate With the Streaming World
05:19 • 3min
Building a Streaming Transformation
08:10 • 2min
How to Test a Quick Stream With Open Source Software
10:09 • 2min
How to Build a Pipeline With Kafka
11:52 • 2min
The Power of Python for Machine Learning
13:33 • 2min
How to Build a Python Stream Processing Library
15:22 • 2min