technology
Hosted by OCDevel · technology · EN-US
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.
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Contact path
Verified email
Booking probability
26%
Guest openness
Selective
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Signup to Generate a PitchMachine 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. Audio is a great supplement during exercise, commute, chores, etc.
Machine Learning Guide is hosted by OCDevel. The show has published 60 episodes to date.
Recent episodes include "MLA 030 AI Job Displacement & ML Careers" (26 February 2026, 42 minutes), "MLA 029 OpenClaw" (22 February 2026, 52 minutes), and "MLA 028 AI Agents" (22 February 2026, 38 minutes).
Machine Learning Guide publishes roughly a few times a week, with episodes averaging 50 minutes across 60 episodes.
Booking probability for Machine Learning Guide is 26%, and the host is rated Selective on guests. Machine Learning Guide requires a Pod Score of 81 or higher. Machine Learning Guide's contact route on record: verified email.
The strongest fits for Machine Learning Guide are Business & Professional Training. Machine Learning Guide has a technology audience.
OCDevel hosts Machine Learning Guide, a technology podcast with 60 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #66
<p>ML engineering demand remains high with a 3.2 to 1 job-to-candidate ratio, but entry-level hiring is collapsing as AI automates routine programming and data tasks. Career longevity requires shifting from model...
Episode #65
<p>OpenClaw is a self-hosted AI agent daemon that executes autonomous tasks through messaging apps like WhatsApp and Telegram using persistent memory. It integrates with Claude Code to enable software development and...
Episode #64
<p>AI agents differ from chatbots by pursuing autonomous goals through the ReACT loop rather than responding to turn-based prompts. While coding agents are currently the most reliable due to verifiable feedback loops...
Episode #63
<p >How to maintain character consistency, style consistency, etc in an AI video. Prosumers can use Google Veo 3's "High-Quality Chaining" for fast social media content. Indie filmmakers can achieve narrative...
<p>Google Veo leads the generative video market with superior 4K photorealism and integrated audio, an advantage derived from its YouTube training data. OpenAI Sora is the top tool for narrative storytelling, while...
<p>The AI image market has split: Midjourney creates the highest quality artistic images but fails at text and precision. For business use, OpenAI's GPT-4o offers the best conversational control, while Adobe Firefly...
Episode #60
<p>Auto encoders are neural networks that compress data into a smaller "code," enabling dimensionality reduction, data cleaning, and lossy compression by reconstructing original inputs from this code. Advanced auto...
Episode #59
<p>At inference, large language models use in-context learning with zero-, one-, or few-shot examples to perform new tasks without weight updates, and can be grounded with Retrieval Augmented Generation (RAG) by...
Episode #58
<p>Explains language models (LLMs) advancements. Scaling laws - the relationships among model size, data size, and compute - and how emergent abilities such as in-context learning, multi-step reasoning, and instruction...
Episode #57
<p>Agentic engineering shifts the developer role from manual coding to orchestrating AI agents that automate the full software lifecycle from ticket to deployment. Using Claude Code with MCP servers and git worktrees...
Episode #56
<p>Claude Code distinguishes itself through a deterministic hook system and model-invoked skills that maintain project consistency better than visual-first tools like Cursor. Its multi-surface architecture allows...
Episode #55
<p>Andrej Karpathy coined "vibe coding" in February 2025 - a year later, 41% of all code is AI-generated, agents run multi-hour tasks autonomously, and the developer role has shifted from writing code to orchestrating...
Episode #54
<p>Links:</p> Notes and resources at ocdevel.com/mlg/33 3Blue1Brown videos: https://3blue1brown.com/ Try a walking desk stay healthy & sharp while you learn & code Try Descript audio/video editing with AI power-tools...
<p>Databricks is a cloud-based platform for data analytics and machine learning operations, integrating features such as a hosted Spark cluster, Python notebook execution, Delta Lake for data management, and seamless...
<p>Machine learning pipeline orchestration tools, such as SageMaker and Kubeflow, streamline the end-to-end process of data ingestion, model training, deployment, and monitoring, with Kubeflow providing an open-source...
Episode #51
<p>The deployment of machine learning models for real-world use involves a sequence of cloud services and architectural choices, where machine learning expertise must be complemented by DevOps and architecture skills...
Episode #50
<p>Try a walking desk while studying ML or working on your projects! https://ocdevel.com/walk</p> <p>(Optional episode) just showcasing a cool application using machine learning</p> <p>Dept uses Descript for some of...
Episode #49
<p>AWS development environments for local and cloud deployment can differ significantly, leading to extra complexity and setup during cloud migration. By developing directly within AWS environments, using tools such as...
Episode #48
<p>SageMaker streamlines machine learning workflows by enabling integrated model training, tuning, deployment, monitoring, and pipeline automation within the AWS ecosystem, offering scalable compute options and flexible...
Episode #47
<p>SageMaker is an end-to-end machine learning platform on AWS that covers every stage of the ML lifecycle, including data ingestion, preparation, training, deployment, monitoring, and bias detection. The platform...
Recent guests on Machine Learning Guide. Study who booked and why before you pitch.
intrep.io
Dept Agency
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