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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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zou3519
zou3519 commented Jul 30, 2021

🐛 Bug

--- Logging error ---
Traceback (most recent call last):
  File "/scratch/rzou/pt/workspace-env/lib/python3.7/logging/__init__.py", line 1025, in emit
    msg = self.format(record)
  File "/scratch/rzou/pt/workspace-env/lib/python3.7/logging/__init__.py", line 869, in format
    return fmt.format(record)
  File "/scratch/rzou/pt/workspace-env/lib/python3.7/site-packages/_pytes
julia

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 May 13, 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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