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python-3 strings

Python 3 String Operations

11 Sep 2019   Common operations you will need to do on python strings, within the context of Natural Language Processing (NLP) or otherwise.

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paper-summary language-models

Paper Summary: Language Models are Unsupervised Multitask Learners

31 Aug 2019   Summary of the 2019 article "Language Models are Unsupervised Multitask Learners" by Radford et al. AKA the GPT-2 Article.

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spark dataframes scala

Spark Dataframe Examples: Window Functions

22 Aug 2019   Examples on how to do common operations using window functions in apache spark dataframes. Examples using the Spark Scala API.

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pandas dataframes

Pandas Indexing Examples: Accessing and Setting Values on DataFrames

21 Aug 2019   Some common ways to access rows in a pandas dataframe, includes label-based (loc) and position-based (iloc) accessing.

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spark scala

Spark Dataframe Examples: Pivot and Unpivot Data

10 Aug 2019   Pivoting and unpivoting are very commonly-used data transformation operations. Use them when you want to switch from a row-based to a column-based view and vice-versa.

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jupyter-notebooks scala spark

Jupyter Notebook Kernels: How to Add, Change, Remove

28 Jul 2019   Add, remove and change Kernels to use with Jupyter notebook

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paper-summary sequence-learning

Paper Summary: Sequence to Sequence Learning with Neural Networks

14 Jul 2019   Summary of the 2014 article "Sequence to Sequence Learning with Neural Networks" by Sutskever et al.

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paper-summary

Paper Summary: A New Probabilistic Model for Title Generation

30 Jun 2019   Summary of the 2002 article "A New Probabilistic Model for Title Generation" by Jin and Hauptmann.

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paper-summary surveys

Paper Summary: Text Summarization Techniques: A Brief Survey

29 Jun 2019   Summary of the 2017 article "Text Summarization Techniques: A Brief Survey" by Allahyari et al.

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scikit-learn svm

Choosing C Hyperparameter for SVM Classifiers: Examples with Scikit-Learn

20 Jun 2019   Analysis of the effect of the C parameter on learning SVM models under a noisy data regime. With examples using the Python Library Scikit-learn.

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