# Machine Learning
=> ../academic/ Theodore Tollet
2023-07-05

A collection of resources relevant to the study of machine learning.

=> https://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/K-means_convergence.gif/220px-K-means_convergence.gif animated banner
The k-means clustering algorithm converges to identify three groups within the data.
=> https://en.wikipedia.org/wiki/K-means_clustering source
=> gallery.gmi gallery

During my MSc. Data Science I regularly referred to the following two books:
=> https://aima.cs.berkeley.edu/ Artificial Intelligence: A Modern Approach
=> https://www.statlearning.com/ An Introduction to Statistical Learning (ISLR)

ISLR's more verbose sibling, often referred to during my graduate data mining module as "the bible" of machine learning:
=> https://hastie.su.domains/ElemStatLearn/ The Elements of Statistical Learning (ESL)

For deep learning, this book by Goodfellow et al. provides a thorough approach to its material - useful when in need of more detail:
=> https://www.deeplearningbook.org/ Deep Learning

## Python tools
=> http://www.numpy.org/ Numpy
Provides a faster method of computation than typical base Python approaches

=> https://pandas.pydata.org/ Pandas
The conventional way of handling datasets that fit on a single computer.

=> https://scikit-learn.org/stable/ scikit-learn
Provides reliable implementations of typical machine learning algorithms, alongside supporting functions for cross-validation and such.

The two most widely recognised methods of deep learning:
=> https://pytorch.org/ PyTorch
=> https://www.tensorflow.org/ TensorFlow

## Other
A great explanation of the intuition behind neural networks:
=> https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi 3Blue1Brown's "Neural networks" playlist (Youtube)

This online course by fast.ai is highly regarded:
=> https://course.fast.ai/ Practical Deep Learning

This collaborative Github list, with 7.7k+ stars, contains a plethora of useful material:
=> https://github.com/owainlewis/awesome-artificial-intelligence awesome-artificial-intelligence (Github)


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Feel free to send comments & corrections to me at:
=> https://sigmoid.social/@ttollet @ttollet@sigmoid.social