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This video will lay out what is a model, how machine learning fits into this.
00:00 Overview of the Video
01:37 What is a Model
02:41 ML Category Types
03:53 What is Regression
04:33 What is Classification
05:32 What is Forecasting
06:13 What is Clustering
07:19 Splunk Architectural Review of its Components
08:53 Where Do I Start
11:19 Start With a Good Story
13:46 Process Workflow
17:30 Collect Data
18:26 Explore Data
22:18 Evaluate Results
24:35 Tune and Iterate
27:37 Deploy Model
31:40 Tiered Approach to Writing Models
34:47 Paradigm Shift
39:15 Model 1 Abnormal Port Usage and IP Tupling
01:16:10 Anomalous Network History Logs
01:26:49 Anomalous Login Activity in Host Logs
01:32:36 Using Math in Your Anomaly Detections
01:39:39 Using Complication Math Algorithms
