Writing a Data Science Blog

TDS Editors
Towards Data Science
3 min readJul 14, 2020

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Photo by Thought Catalog on Unsplash

How I Write a Data Science Blog

By Rebecca Vickery — 5 min read

I’ve been writing almost exclusively about data science on Medium for almost two years now. I initially intended to write only occasionally to assist others in learning data science and as a learning tool for my own development (I’m a huge fan of the Feynman Technique).

Photo by Pixabay from Pexels

Welcome to the data team! Please solve everything.

By Jarus Singh — 11 min read

Let’s begin with a common situation. Somebody with at least an ounce of authority, whether it be a plucky MBA marketing intern or the CEO, is faced with a difficult problem. They schedule a project kickoff meeting with various folks to brainstorm a solution, and know that it will need to be supported by data if it has any chance of being approved by their superiors.

Photo by Alva Pratt on Unsplash

Which Translator?

By Steven McDonald — 12 min read

As an avid reader of fiction, I’ve often wondered about the impact of the translator’s style on a translated novel. In particular, I’ve been curious about the works of Haruki Murakami. He writes in Japanese and has three main English language translators: Alfred Birnbaum, Jay Rubin and Philip Gabriel.

Alessio Damato, Mikhail Ryazanov / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

The Magic of The Bell Curve

By Manuel Brenner — 7 min read

The world is incredibly messy, so it takes a certain audacity for us to even attempt to find timeless structure within it. Statisticians are among this audacious bunch of people always on the hunt for regularity. But regularity is hard to find, and robust statements about the world usually come about only at the price of long periods of stumbling around blindly.

Explain Yourself! Leveraging Language Models for Common Sense Reasoning

By Nazneen Rajani — 25 min

Deep learning models perform poorly on tasks that require commonsense reasoning, which often necessitates some form of world-knowledge or reasoning over information not immediately present in the input. We collect human explanations for commonsense reasoning in the form of natural language sequences and highlighted annotations in a new dataset called Common Sense Explanations (CoS-E).

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