Pandas Dataframe: Union and Concat Examples
14 Jun 2018 Emulate SQL union and union all behaviour, among other stuff.
Read More ›Pandas Dataframe: Replace Examples
14 Jun 2018 Call the replace method on Pandas dataframes to quickly replace values in the whole dataframe, in a single column, etc.
Read More ›Crypto Asset Overview: 0x Project and the ZRX Token
05 Jun 2018 Short overview with the least you need to know about the 0x protocol
Latex Image Examples: Sizing, Positioning, Captioning, etc
03 Jun 2018 Examples on how to work with images on LaTeX and platforms that support it, such as ShareLaTeX and Overleaf.
Read More ›Evaluation Metrics for Regression Problems: Quick examples + Reference
26 May 2018 Regression problems are evaluated against specific metrics that analyze whether the residuals (difference between actual and predicted values) indicate that a fitted model is a good fit for the data. Here are some of the most commonly-used metrics in that domain.
Read More ›Vim Examples: Search and Replace
24 May 2018 Examples on how to search and replace text on Vim; simple exmaples, using regexes, etc.
Read More ›paper-summary embeddings compositionality natural-language-processing
Paper Summary: A Simple but Tough-to-beat Baseline for Sentence Embeddings
13 May 2018 Summary of the 2017 article "A Simple but Tough-to-beat Baseline for Sentence Embeddings" by Arora et al.
Scikit-Learn examples: Making Dummy Datasets
02 May 2018 Make dummy datasets to test out classifiers and/or parameter configurations in Scikit-learn.
Read More ›paper-summary compositionality embeddings natural-language-processing
Paper Summary: Context is Everything: Finding Meaning Statistically in Semantic Spaces
01 May 2018 Summary of the 2018 article "Context is Everything: Finding Meaning Statistically in Semantic Spaces" by Zelikman, where the author introduces CoSal weighting for bag-of-words vectors.
data-science peopleware data-newsletter-5 machine-learning-engineering
Podcast Episode Overview: What Machine Learning Engineers need to Know
23 Apr 2018 Overview of a great podcast episode on how much (if at all) we need a new role for data teams, namely Machine Learning Engineers.