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Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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adrinjalali
adrinjalali commented Nov 8, 2021

These examples take quite a long time to run, and they make our documentation CI fail quite frequently due to timeout. It'd be nice to speed the up a little bit.

To contributors: if you want to work on an example, first have a look at the example, and if you think you're comfortable working on it and have found a potential way to speed-up execution time while preserving the educational message

julia
longemen3000
longemen3000 commented Jan 11, 2022

i was in need to define my own type <: AbstractSparseMatrixCSC (basically i needed the indexing behaviour of a SparseMatrixCSC, but with another storage type). The (not written in the docs) interface for an AbstractSparseMatrixCSC requires:

  • getcolptr
  • rowvals
  • nonzeros
  • size
    the problem is that an internal function _checkbuffers is required, mainly for the display machin

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • Updated Nov 4, 2021
  • Python
trivialfis
trivialfis commented Dec 13, 2020

Currently many more Python projects like dask and optuna are using Python type hints. With the Python package of xgboost gaining more and more features, we should also adopt mypy as a safe guard against some type errors and for better code documentation.

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