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OCDevel ยท Technology

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

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MLA 030 AI Job Displacement & ML Careers

26 Feb 2026
42m
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MLA 004 AI Job Displacement

26 Feb 2026
35m
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MLA 029 OpenClaw

22 Feb 2026
30m
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MLA 028 AI Agents

22 Feb 2026
37m
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MLA 027 AI Video End-to-End Workflow

14 Jul 2025
1h 11m
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MLA 026 AI Video Generation: Veo 3 vs Sora, Kling, Runway, Stable Video Diffusion

12 Jul 2025
40m
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MLA 025 AI Image Generation: Midjourney vs Stable Diffusion, GPT-4o, Imagen & Firefly

09 Jul 2025
1h 12m
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MLG 036 Autoencoders

30 May 2025
1h 5m
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MLG 035 Large Language Models 2

08 May 2025
45m
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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 ...

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MLG 034 Large Language Models 1

07 May 2025
50m
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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...

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MLA 024 Code AI MCP Servers, ML Engineering

13 Apr 2025
43m
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MLA 023 Code AI Models & Modes

13 Apr 2025
37m
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MLA 022 Code AI Tools

09 Feb 2025
46m
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MLG 033 Transformers

09 Feb 2025
42m
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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 ...

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MLA 021 Databricks

22 Jun 2022
25m
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MLA 020 Kubeflow

29 Jan 2022
1h 7m
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MLA 019 DevOps

13 Jan 2022
1h 14m
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MLA 018 Descript

07 Nov 2021
6m
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MLA 017 AWS Local Development

06 Nov 2021
1h 4m
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MLA 016 SageMaker 2

05 Nov 2021
59m
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