Machine learning

Machine learning is the use of computers to process and extract patterns from data.

It is closely related to Data science.

Books

• The Little Learner
  • Book about machine learning in the style of The Little Schemer.
  • https://mitpress.mit.edu/9780262546379/the-little-learner/
  • https://news.ycombinator.com/item?id=34810332

File formats

• ARFF
• CSV
• Parquet
• https://towardsdatascience.com/guide-to-file-formats-for-machine-learning-columnar-training-inferencing-and-the-feature-store-2e0c3d18d4f9
• https://github.com/mosaicml/streaming
• https://discuss.pytorch.org/t/best-way-to-load-a-lot-of-training-data/80847

Interesting links

• https://gwern.net/aunn

Resource dump

• https://aml4td.org/
• https://course.fast.ai/
• https://d2l.ai/index.html
• https://pythonprogramming.net/
• https://www.youtube.com/@sentdex
• https://www.youtube.com/watch?v=hfMk-kjRv4c
• https://www.youtube.com/watch?v=aircAruvnKk

Datasets

• UCI Machine Learning Repository
• Kaggle Datasets
• Hugging Face datasets
• OpenML datasets
• https://waikato.github.io/weka-wiki/datasets/

Optimization

Gradient descent

• https://www.ruder.io/optimizing-gradient-descent/

Backlinks

• Active learning
• ARFF
• Autoencoder
• TensorFlow

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