Machine Learning Guide
A machine learning podcast teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models, neural networks, math, languages, frameworks, etc. Where visual ML resources provide the trees, I provide the forest. Podcasts are a great supplement during exercise, commute, chores, etc.
MLA 003 Storage: HDF, Pickle, Postgres
May 24, 2018
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Comparison of different data storage options when working with your ML models. You'll ingest your dataset (CSV, TSV, JSON API, ..) via Pandas. Then you munge the data / Pandas, convert to Numpy & send to your model. Model saves intermediate steps as Numpy->HDF. Publish results of your model's predictions (whether for use in app/website, or for researchers, etc) in a SQL database or CSV.
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