Project Autodidact
Project Details: https://insightsbyse.com/projectautodidact/
Scott Ernst Bio: https://insightsbyse.com/aboutscotternst/
Project Contact: InsightsBySE@protonmail.com
Progress Report Scope
Enhanced Professional MLOps Lifecycle For A Predictive System and Component Models
PHASE 0. STRATEGIC FOUNDATION & FEASIBILITY
STEP 0.1. Problem Scoping & Business Case
PROCEDURE 0.1.1. Decision-First Framing
Summary Of Goals Achieved
- Reviewed overview of the procedure, including key components
- Researched procedure goal
- Researched information needed by (1) MLOps architects & engineers, (2) venture capitalists & other investors & (3) prospective consulting clients
- Researched key U.S. federal laws, California state laws, and European Union laws applicable to the specific procedure
- Reviewed graph theory
- Reviewed mapping decision nodes and information sets in a Directed Acyclic Graph (DAG)
- Reviewed conditional probability
- Reviewed Design of Experiments (DoE) principles
- Learned how to use Miro or Excalidraw for mapping decision flows
- Learned how to use Google Colab for markdown-based documentation of the decision logic
- Learned how to use Databricks SQL to query historical decision logs
- Learned how to use GCP Vertex AI Vizier for initial decision parameter exploration
- Created scripts for automation of routine or repetitive tasks in building a Proof of Concept (PoC) predictive system & component models with Google Colab
- Created scripts for automation of routine or repetitive tasks in building a production-grade predictive system & component models with Databricks & GCP
Part 1: Overview of the Procedure
Goal 1 Statement: Review overview of the procedure, including key components
Goal 1 Plan: Read source materials
Goal 1 Work Product: WIP Guidebook – Wrote rough draft of overview of the procedure, including key components
Goal 1 Result: Completed
Part 2: Procedure Goal
Goal 1 Statement: Research procedure goal
Goal 1 Plan: Read source materials
Goal 1 Work Product: WIP Guidebook – Wrote rough draft of Executive Summary of Procedure Goal
Goal 1 Result: Completed
Goal 2 Statement: Research information needed by (1) MLOps architects & engineers, (2) venture capitalists & other investors & (3) prospective consulting clients
Goal 2 Plan: Read source materials
Goal 2 Work Product: WIP Guidebook – Wrote rough draft of anticipated Q&A with (1) MLOps architects & engineers, (2) venture capitalists & other investors & (3) prospective consulting clients
Goal 2 Result: Completed
Part 3: Regulatory Compliance
Goal 1 Statement: Research key U.S. federal laws, California state laws, and European Union laws applicable to the specific procedure
Goal 1 Plan: Read source materials
Goal 1 Work Product: WIP Guidebook – Wrote rough draft of summary of key U.S. federal laws, California state laws, and European Union laws applicable to the specific procedure
Goal 1 Result: Completed
Part 4: Math Foundations
Goal 1 Statement: Review graph theory
Goal 1 Plan: Read source materials and complete practice problems
Goal 1 Work Product: (1) Completed practice problems and (2) WIP Guidebook – Wrote rough draft of graph theory
Goal 1 Result: Completed
Goal 2 Statement: Review mapping decision nodes and information sets in a Directed Acyclic Graph (DAG)
Goal 2 Plan: Read source materials and complete practice problems
Goal 2 Work Product: (1) Completed practice problems and (2) WIP Guidebook – Wrote rough draft of mapping decision nodes and information sets in a Directed Acyclic Graph (DAG)
Goal 2 Result: Completed
Part 5: Probability Foundations
Goal 1 Statement: Review conditional probability
Goal 1 Plan: Read source materials and complete practice problems
Goal 1 Work Product: (1) Completed practice problems and (2) WIP Guidebook – Wrote rough draft of conditional probability
Goal 1 Result: Completed
Part 6: Statistical Foundations
Goal 1 Statement: Review Design of Experiments (DoE) principles
Goal 1 Plan: Read source materials and complete practice problems
Goal 1 Work Product: (1) Completed practice problems and (2) WIP Guidebook – Wrote rough draft of Design of Experiments (DoE) principles
Goal 1 Result: Completed
Part 7: Building A Proof Of Concept (PoC) Predictive System & Component Models With Google Colab
Goal 1 Statement: Learn how to use Miro or Excalidraw for mapping decision flows
Goal 1 Plan: Read source materials and complete practice problems
Goal 1 Work Product: (1) Completed practice problems and (2) WIP Guidebook – Wrote rough draft of how to use Miro or Excalidraw for mapping decision flows
Goal 1 Result: Completed
Goal 2 Statement: Learn how to use Google Colab for markdown-based documentation of the decision logic
Goal 2 Plan: Read source materials and complete practice problems
Goal 2 Work Product: (1) Completed practice problems and (2) WIP Guidebook – Wrote rough draft of how to use Google Colab for markdown-based documentation of the decision logic
Goal 2 Result: Completed
Part 8: Building A Production-Grade Predictive System & Component Models With Databricks & GCP
Goal 1 Statement: Learn how to use Databricks SQL to query historical decision logs
Goal 1 Plan: Read source materials
Goal 1 Work Product: None (to be completed in next stage)
Goal 1 Result: Completed
Goal 2 Statement: Learn how to use GCP Vertex AI Vizier for initial decision parameter exploration
Goal 2 Plan: Read source materials
Goal 2 Work Product: None (to be completed in next stage)
Goal 2 Result: Completed
Part 9: Automation Of Routine Or Repetitive Tasks In Building A Proof Of Concept (PoC) Predictive System & Component Models With Google Colab
Goal 1 Statement: Learn automation scripts
Goal 1 Plan: Create automation scripts
Goal 1 Work Product: Automation scripts
Goal 1 Result: Completed
Part 10: Automation Of Routine Or Repetitive Tasks In Building A Production-Grade Predictive System & Component Models With Databricks & GCP
Goal 1 Statement: Learn automation scripts
Goal 1 Plan: Create automation scripts
Goal 1 Work Product: Automation scripts
Goal 1 Result: Completed
Insights By Scott Ernst 