

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.
Episodes


MLA 004 AI Job Displacement

MLA 029 OpenClaw

MLA 028 AI Agents

MLA 027 AI Video End-to-End Workflow

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
This episode explores advanced techniques and future directions in Large Language Models (LLMs), moving beyond basic training to focus on inference-time learning and external knowledge integration. The discussion begins with In-Context Learning (ICL), highlighting zero-shot, one-shot, and few-shot prompting to improve ...

MLG 034 Large Language Models 1
This episode explores large language models (LLMs), building upon previous discussions on natural language processing and transformers, emphasizing the importance of understanding transformers for grasping the core of LLMs. The discussion covers scaling laws, which dictate the scaling of architecture, data sets, and tr...

MLA 024 Code AI MCP Servers, ML Engineering

MLA 023 Code AI Models & Modes

MLA 022 Code AI Tools

MLG 033 Transformers
This Machine Learning Guide podcast episode explains transformer neural networks, focusing on the attention mechanism. The speaker begins by contrasting context-free (traditional) and context-aware neural networks, using examples from housing markets and shipment dispatch. He then details how the attention mechanism ...
MLA 021 Databricks
MLA 020 Kubeflow
MLA 019 DevOps
MLA 018 Descript
MLA 017 AWS Local Development
MLA 016 SageMaker 2
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