Overview
Syllabus
Intro
Machine Learning Goes Viral
Fancy Technology
Gartner Hype Cycle
Machine Learning
General AI
Narrow AI
Automating Marketing
Chat Pods
AI API
Poncho
JetBot
What is Machine Learning
Machine Learning Definition
Linear Regression
Unsupervised ML
Reinforcements
Deep Learning
Deep Learning Example
Big Data
Machine Learning vs AI
Kegger contests
More productive
Finding patterns
Finding anomalies
Finding breakouts
Detecting anomalies
Detecting security events
Visual inspections
Rules
CPU intensive
Building the pipeline
Preparing the data
Data cleaning
Fastest ML algorithm
What is doable
What is the baseline
Multiple time series
GeoIP lookup
Default dashboard
Return codes
Top URLs
Operating Systems
Visualization
AWS outage
S3 outage
Multicloud strategy
Anomaly analysis
Combining multiple models
Correlation doesnt mean causation
Statistics class
Correlation
Future Predictions
Summary
Machine Learning Best Practices
Conclusion
Taught by
Devoxx