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Machine Learning & AI — Project Fortress
Machine Learning & AI — Project Fortress

00 · Command

  • The 13-Month Machine Learning Fortress
  • Month-by-Month Execution Plan
  • Sprint Calendar
  • North Star Artifacts
  • The Canonical Week
  • KPI Dashboard
  • Zoho Background Alignment
  • The Thirteen-Month Pitch

01 · Phase 0 Mathematical Foundations

  • Phase 0: Mathematical Foundations
  • Linear Algebra for Machine Learning
  • Calculus and Optimization for Machine Learning
  • Probability and Statistics for Machine Learning
  • Information Theory for Machine Learning
  • Phase 0 Projects: Proving You Know the Math

02 · Phase 1 Classical ML

  • Phase 1: Classical Machine Learning (Months 3–4)
  • Supervised Learning: Derivations, Code, and Failure Modes
  • Unsupervised Learning: Structure Without Labels
  • 03 · Model Selection and Evaluation
  • 04 · Feature Engineering
  • 05 · Classical ML in Production
  • 06 · Phase 1 Projects

03 · Phase 2 Deep Learning Core

  • Phase 2: Deep Learning Core
  • Neural Networks From Scratch
  • PyTorch Fundamentals
  • 03 — CNNs and Computer Vision
  • 04 — Sequence Models
  • 05 — Training Dynamics
  • 06 — Phase 2 Projects

04 · Phase 3 Modern Architectures

  • Phase 3: Modern Architectures (Months 7–8)
  • Attention and Transformers
  • BERT and the GPT Family
  • Vision Transformers
  • Diffusion Models: Foundations
  • Graph Neural Networks: Foundations
  • Phase 3 Projects

05 · Phase 4 Generative Ai Frontier

  • Phase 4: Generative AI Frontier (Months 9–10)
  • LLM Alignment and Fine-Tuning
  • Parameter-Efficient Fine-Tuning (PEFT)
  • RAG Systems: Retrieval-Augmented Generation
  • LLM Agents: Architecture, Reliability, and Production Reality
  • Multi-Modal and Frontier Models
  • Phase 4 Projects: Generative AI Frontier

06 · Phase 5 Production and Mlops

  • Phase 5: Production & MLOps (Months 11–12)
  • 01 — Experiment Tracking & Data Versioning
  • 02 — Model Serving & Inference
  • 03 — Containerization & Orchestration
  • 04 — Monitoring & Data Quality
  • 05 — CI/CD for ML
  • 06 — Phase 5 Projects

07 · Phase 6 Research and Mastery

  • Phase 6 — Research & Mastery (Month 13)
  • How to Read ML Papers
  • Frontier Papers 2024–2025: The Practitioner’s Reading List
  • Open Source Contribution for ML Engineers
  • 04 — Developing a Technical Opinion
  • 05 — The Staying-Current System
  • 06 — Interview & Assessment Mastery
  • 07 — The Applied PhD Identity
  • 08 — Phase 6 Projects (Month 13 Capstone)

09 · Resources

  • 09 — Resources Canon
  • 01 — Books Canon
  • 02 — Courses Canon
  • 03 — Papers Canon
  • 04 — Tools and Libraries Canon
  • 05 — Datasets Canon

10 · Communities

  • 10 — Communities
  • 01 — Online Communities
  • 02 — Newsletters & Blogs
  • 03 — India-Specific ML Communities
  • 04 — YouTube Channels & Podcasts

11 · Tools Setup

  • 11 — Tools Setup
  • 01 — Python Environment Setup
  • 02 — GPU & Compute Strategy
  • 03 — Development Environment
  • 04 — Version Control for ML
  • 05 — Hardware & Local Setup

12 · Portfolio

  • 12 | Portfolio Architecture
  • Rung 1: Math From Scratch
  • Rung 2: Classical ML Battle
  • Rung 3: Deep Learning From Scratch
  • Rung 4: Transformer Lab
  • Rung 5: LLM Engineering
  • Rung 6: Production ML System
  • Rung 7: Paper Reproduction
  • Rung 8: Original Technical Writing
  • Portfolio Presentation Guide
  • Portfolio Timeline

13 · Discipline

  • The Discipline Manifesto
  • Sprint Cadence — The 2-Week Rhythm
  • The Lab Notebook — Predict, Then Measure
  • Benchmark Hygiene — How to Measure Honestly
  • Daily Practice — The 30-Minute Habit
  • Teach to Learn — The Feynman Method for ML
  • 06 — Failure Modes of ML Mastery
  • 07 — Motivation Sustainment
  • 08 — Health & Burnout
  • 09 — Interview & Assessment Conversion

99 · Pre Mortem

  • 99 — Pre-Mortem
  • Failure Mode 01 — Tutorial Hell & Paralysis
  • Failure Mode 02 — Math Phobia / Black-Box Usage
  • Failure Mode 03 — Scope Creep & Perfectionism
  • Failure Mode 04 — Comparison & Impostor Syndrome
  • Failure Mode 05 — Burnout & Overcommitment
  • Failure Mode 06 — Job Pressure Derailment
  • Failure Mode 07 — Hype Chasing
  • Failure Mode 08 — Life & Family Risk
  • 09 — Summary & Reset Protocol
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