How to Write Strong Criminal Complaint Systems

Course overview

Learn to structure criminal complaint review packets, map statute elements, define complaint scope, organize evidence, and prepare stronger accountability documentation.

Course Module

Start Here

What is AI?
Types of AI (Narrow, General, Super intelligent)
Real-world AI use cases
Machine learning vs. traditional programming

Lesson 1 — Statute Elements & Complaint Scope

What is data? (structured vs unstructured)
Types of data (numerical, categorical, text, images)
Data collection methods
Data cleaning & preprocessing basics
Training data vs testing data

Lesson 2 — The Complaint Review Packet

What is supervised learning?
Regression vs classification
Common algorithms (Linear Regression, Logistic Regression, KNN, Decision Trees)
Feature selection & labels
Real-world supervised learning examples

Guided Case Lab™ — Hostile Review Board

What is unsupervised learning?
Clustering concepts (K-Means, Hierarchical clustering)
Dimensionality reduction (PCA basics)
Pattern discovery & grouping data
Real-world use cases (customer segmentation, recommendation)

Final Project — Criminal Complaint Review Packet & Evidence Mapping Portfolio

Introduction to neural networks
How neurons, layers & activation functions work
Feedforward vs backpropagation
Deep learning vs traditional ML
Real-world applications (image recognition, NLP)

Meet Your Instructors

Larry Margulies

Founder, Lead Instructor & Case Advocate

Founder of DIY Detective™ and creator of the Drawn Evidence™ visual-intelligence training system. Larry leads instruction in visual investigation, case architecture, public accountability, and civilian case advocacy. Selected courses may also feature guest experts and specialist instructors with professional experience in relevant fields.

What Students Say.

Student experiences and feedback will appear here as the Drawn Evidence™ community grows.

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Course Participant

Drawn Evidence™ Community

Student experiences and feedback will appear here as the Drawn Evidence™ community grows.

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Course Participant

Drawn Evidence™ Community

Student experiences and feedback will appear here as the Drawn Evidence™ community grows.

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Course Participant

Drawn Evidence™ Community

This course completely changed how I understand AI. The instructor broke down even the most complex topics—like neural networks and gradient descent—into simple, digestible lessons. The hands-on exercises helped me finally connect theory with practical implementation.