FastText — a solution for classification with a large number of labels
Fig 0. Illustration of “choice”
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Tl;dr —I built a web app that summarizes search articles
Because your time is important.
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Diving into BERT
Advance NLP topics like BERT, Transformers are now getting very popular. So, here is my exploration about the topic BERT. But to understand BERT, we need to have an idea of Transformers.
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Beating the House for Dummies (who know Python)
Capitalizing on online sports betting legalization, by using promotional arbitrage, to make over $13,000 Disclaimers: Please do not gamble [1]. This article is not meant to promote gambling. This article is written about a hypothetical scenario and is meant for educational purposes only. More disclaimers
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Wordcloud con Spacy
Búsqueda de verbos y sustantivos con Spacy
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Minimax in Python: Learn How to Lose the Game of Nim
You’ve gotten to know the steps of the minimax algorithm. In this section, you’ll implement minimax in Python. You’ll start by tailoring the algorithm directly to the game of Simple-Nim. Later, you’ll refactor your code to separate the core of the algorithm from the rules of the game, such that you can later apply your minimax code to other games. Implement a Nim-Specific Minimax Algorithm Consider the same example as in the previous section: it’s Maximillian’s turn, and there are […]
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Highlights from Machine Translation and Multilinguality 02/2022
After 100 MT Weekly posts (which took me 130 weeks to write), I realized that weekly blogging is impossible while weekly teaching. So I decided to change the format of the post and write monthly summaries of what I found most interesting in machine translation and multilinguality. This is the first issue that summarizes what interesting happened in February. Exciting news about WMT There will be some exciting changes in WMT competitions. WMT is an annual conference on machine translation […]
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Highlights from Machine Translation and Multilinguality in March 2022
Here is a monthly summary of what I found most interesting on arXiv this month from machine translation and mutlilinguality. This month was the camera-ready deadline for ACL 2022, so many of the interesting papers are accepted to ACL. Overlapping BPE When training, BPE merges actually do not have to follow the simple objective of merging the most frequent token pair. In massively multilingual models, there is an imbalance between languages, and some of them got segmented almost down to […]
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