Machine Learning Guide
Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
Latest Episode
MLA 027 AI Video End-to-End Workflow (14.07.2025)
Previous Episodes
- MLA 026 AI Video Generation: Veo 3 vs Sora, Kling, Runway, Stable Video Diffusion
- MLA 025 AI Image Generation: Midjourney vs Stable Diffusion, GPT-4o, Imagen & Firefly
- MLG 036 Autoencoders
- MLG 035 Large Language Models 2
- MLG 034 Large Language Models 1
- MLA 024 Code AI MCP Servers, ML Engineering
- MLA 023 Code AI Models & Modes
- MLA 022 Code AI: Cursor, Cline, Roo, Aider, Copilot, Windsurf
- MLG 033 Transformers
- MLA 021 Databricks: Cloud Analytics and MLOps
- MLA 020 Kubeflow and ML Pipeline Orchestration on Kubernetes
- MLA 019 Cloud, DevOps & Architecture
- MLA 017 AWS Local Development Environment
- MLA 016 AWS SageMaker MLOps 2
- MLA 015 AWS SageMaker MLOps 1
- MLA 014 Machine Learning Hosting and Serverless Deployment
- MLA 013 Tech Stack for Customer-Facing Machine Learning Products
- MLA 012 Docker for Machine Learning Workflows
- MLG 032 Cartesian Similarity Metrics
- MLA 011 Practical Clustering Tools
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