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Summary
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Classroom Contents
Machine Learning Without the Hype
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- 1 Intro
- 2 Machine Learning Goes Viral
- 3 Fancy Technology
- 4 Gartner Hype Cycle
- 5 Machine Learning
- 6 General AI
- 7 Narrow AI
- 8 Automating Marketing
- 9 Chat Pods
- 10 AI API
- 11 Poncho
- 12 JetBot
- 13 What is Machine Learning
- 14 Machine Learning Definition
- 15 Linear Regression
- 16 Unsupervised ML
- 17 Reinforcements
- 18 Deep Learning
- 19 Deep Learning Example
- 20 Big Data
- 21 Machine Learning vs AI
- 22 Kegger contests
- 23 More productive
- 24 Finding patterns
- 25 Finding anomalies
- 26 Finding breakouts
- 27 Detecting anomalies
- 28 Detecting security events
- 29 Visual inspections
- 30 Rules
- 31 CPU intensive
- 32 Building the pipeline
- 33 Preparing the data
- 34 Data cleaning
- 35 Fastest ML algorithm
- 36 What is doable
- 37 What is the baseline
- 38 Multiple time series
- 39 GeoIP lookup
- 40 Default dashboard
- 41 Return codes
- 42 Top URLs
- 43 Operating Systems
- 44 Visualization
- 45 AWS outage
- 46 S3 outage
- 47 Multicloud strategy
- 48 Anomaly analysis
- 49 Combining multiple models
- 50 Correlation doesnt mean causation
- 51 Statistics class
- 52 Correlation
- 53 Future Predictions
- 54 Summary
- 55 Machine Learning Best Practices
- 56 Conclusion
