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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Avsnitt(60)

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 Nov 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 Nov 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 Nov 202147min

MLA 014 Machine Learning Hosting and Serverless Deployment

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 Modal...

18 Jan 202149min

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 Jan 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 Nov 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 Nov 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 Nov 202034min

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