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S1E66 MLA 030 AI Job Displacement & ML Careers
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…
S1E65 MLA 029 OpenClaw
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…
S1E64 MLA 028 AI Agents
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…
S1E63 MLA 027 AI Video End-to-End Workflow
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…
S1E62 MLA 026 AI Video Generation: Veo 3 vs Sora, Kling, Runway, Stable Video Diffusion
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…
S1E61 MLA 025 AI Image Generation: Midjourney vs Stable Diffusion, GPT-4o, Imagen & Firefly
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…
S1E60 MLG 036 Autoencoders
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.…
S1E59 MLG 035 Large Language Models 2
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…
S1E58 MLG 034 Large Language Models 1
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,…
S1E57 MLA 024 Agentic Software Engineering
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…
S1E56 MLA 023 Claude Code Components
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…
S1E55 MLA 022 Vibe Coding
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…
S1E54 MLG 033 Transformers
Links: 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…
S1E53 MLA 021 Databricks: Cloud Analytics and MLOps
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…
S1E52 MLA 020 Kubeflow and ML Pipeline Orchestration on Kubernetes
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…
S1E51 MLA 019 Cloud, DevOps & Architecture
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…
S1E49 MLA 017 AWS Local Development Environment
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,…
S1E48 MLA 016 AWS SageMaker MLOps 2
SageMaker streamlines machine learning workflows by enabling integrated model training, tuning, deployment, monitoring, and pipeline automation within the AWS ecosystem, offering scalable compute…
S1E47 MLA 015 AWS SageMaker MLOps 1
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.…
S1E46 MLA 014 Machine Learning Hosting and Serverless Deployment
Builders can scale ML from simple API calls to full MLOps pipelines using SST on AWS, utilizing Aurora pgvector for search and Spot instances for 90 percent cost savings. External platforms like…
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Machine Learning Guide has published 60 episodes since February 2017, covering topics in Courses, Education.
Machine Learning Guide is currently sporadic with new episodes every 2 weeks. Average episode length is 42m.
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