Machine Learning Guide

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.

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MLA 017 AWS Local Development Environment

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, usin...

6 Marras 20211h 4min

MLA 016 AWS SageMaker MLOps 2

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 opti...

5 Marras 20211h

MLA 015 AWS SageMaker MLOps 1

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. Th...

4 Marras 202147min

MLA 014 Hosting and Deploying ML: Managed APIs, Serverless GPUs, Self-Hosting

MLA 014 Hosting and Deploying ML: Managed APIs, Serverless GPUs, Self-Hosting

Where the model behind your product should run in 2026: managed APIs vs open weights, AWS native vs Modal, RunPod and Cloud Run GPU, vLLM and SGLang, quantized CPU inference on Spot, batch pricing, pr...

18 Tammi 202136min

MLA 013 Tech Stack for Customer-Facing Machine Learning Products

MLA 013 Tech Stack for Customer-Facing Machine Learning Products

Primary technology recommendations for building a customer-facing machine learning product include React and React Native for the front end, serverless platforms like AWS Amplify or GCP Firebase for a...

3 Tammi 202147min

MLA 012 Docker for Machine Learning Workflows

MLA 012 Docker for Machine Learning Workflows

Docker enables efficient, consistent machine learning environment setup across local development and cloud deployment, avoiding many pitfalls of virtual machines and manual dependency management. It s...

9 Marras 202031min

MLG 032 Cartesian Similarity Metrics

MLG 032 Cartesian Similarity Metrics

Try a walking desk to stay healthy while you study or work! Show notes at ocdevel.com/mlg/32. L1/L2 norm, Manhattan, Euclidean, cosine distances, dot product Normed distances link A norm is a func...

8 Marras 202041min

MLA 011 Practical Clustering Tools

MLA 011 Practical Clustering Tools

Primary clustering tools for practical applications include K-means using scikit-learn or Faiss, agglomerative clustering leveraging cosine similarity with scikit-learn, and density-based methods like...

8 Marras 202034min

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