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.
Read More ›Jupyter Notebook Kernels: How to Add, Change, Remove
28 Jul 2019 Add, remove and change Kernels to use with Jupyter notebook
Read More ›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.
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.
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.
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.
Read More ›Michelangelo Palette Overview
08 Jun 2019 Overview of Palette, the feature store system that is part of Uber's Michelangelo Mahcine Learning Platform. Based off the talk given at qcon.ai.
Read More ›paper-summary embeddings surveys
Paper Summary: From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
02 Jun 2019 Summary of the 2018 article "From Word to Sense Embeddings: A Survey on Vector Representations of Meaning" by Camacho-Collados and Pilehvar.
projects data-science project-work
Helping Data Science Projects Succeed: 5 Tips on how to Avoid Becoming a Statistic
01 Jun 2019 5 real-world tips to help you avoid failures in data science projects. Suitable for both practitioners and project leads.
Read More ›Pandas Dataframe Examples: String Functions
01 Jun 2019 Pandas exposes a series of string methods that you can use on Series that contain string objects. These are useful for filtering dataframes among other uses.
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