machine-learning-articles
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khuyentran1401
List of interesting articles on different topics of machine learning and deep learning
## TL;DR Tools for time series ### Article Link https://towardsdatascience.com/my-time-series-toolkit-4aa841d08325 ## Useful Tools * ARIMA * Prophet
## TL;DR An easier way to build pipelines with `pdpipe` ### Article Link https://towardsdatascience.com/https-medium-com-tirthajyoti-build-pipelines-with-pandas-using-pdpipe-cade6128cd31
## TL;DR Different techniques to deal with the reproducibility problem of Jupyter Notebook ### Article Link https://netflixtechblog.com/notebook-innovation-591ee3221233
## TL;DR DIfferent ways to handle files in Python ### Article Link https://towardsdatascience.com/knowing-these-you-can-cover-99-of-file-operations-in-python-84725d82c2df
## TL;DR Different ways to save file instead of csv ### Article Link https://towardsdatascience.com/stop-persisting-pandas-data-frames-in-csvs-f369a6440af5 ## Useful Tools * `pickle` and `to_pickle()` * `df.to_parquet()`
## TL;DR Difference between static and class method for class ### Article Link https://julien.danjou.info/guide-python-static-class-abstract-methods/ ## Key Takeaways * @staticmethod and @classmethod are useful when we don't want to instantiate the...
## TL;DR Useful practices to define a class ### Article Link https://medium.com/better-programming/advanced-python-9-best-practices-to-apply-when-you-define-classes-871a27af658b ## Key Takeaways * Give good names to functions and variables * Class and static methods are really...
## TL;DR Why and how to use pipenv ### Article Link https://realpython.com/pipenv-guide/ ## Key Takeaways * Pipenv is a combo of virtualenv and pip * The sub-dependencies are not shown...
## TL;DR Classify the topic of the text without trained data ### Article Link https://joeddav.github.io/blog/2020/05/29/ZSL.htm ## Useful Tools * https://colab.research.google.com/drive/1jocViLorbwWIkTXKwxCOV9HLTaDDgCaw?usp=sharing#scrollTo=CfrpyGWM782R
## TL;DR How to use RAPIDS and MLFlow to accelerate and keep track machine learning models ### Article Link https://medium.com/rapids-ai/managing-and-deploying-high-performance-machine-learning-models-on-gpus-with-rapids-and-mlflow-753b6fcaf75a ## Useful Tools * RAPIDS * MLFlow
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List of interesting articles on different topics of machine learning and deep learning