Tag: internet

Building a realistic Reddit AI that get upvoted in Python

Building a realistic Reddit AI that get upvoted in Python

Sometimes I find these AI / programming hobby projects that I just wished I had thought of... Will Stedden combined OpenAI's GPT-2 deep learning text generation model with another deep-learning language model by Google called BERT (Bidirectional Encoder Representations from Transformers) and created an elaborate architecture that had one purpose: posting the best replies on … Continue reading Building a realistic Reddit AI that get upvoted in Python

Two Tinder Experiments: An Unequal Economy

Two Tinder Experiments: An Unequal Economy

I've seen a fair share of Tinder experiments come by, for instance, someone A/B-testing attractiveness with and without facial hair, but these new two posts on Medium are the best I've come across so far. In his first experiment, this self-proclaimed worst online dater went catfishing. He made a Tinder account using stock photos of … Continue reading Two Tinder Experiments: An Unequal Economy

A/B testing and Statistics at Etsy, by Emily Robinson

A/B testing and Statistics at Etsy, by Emily Robinson

Generating numbers is easy; generating numbers you should trust is hard! Emily Robinson is a data scientist at Etsy, an e-commerce website for handmade and vintage products. In the #rstats community, Emily is nearly as famous as her brother David Robinson, whom we know from the tidytext R-package. Like any large tech company, Etsy relies heavily … Continue reading A/B testing and Statistics at Etsy, by Emily Robinson

Kaggle Data Science Survey 2017: Worldwide Preferences for Python & R

Kaggle Data Science Survey 2017: Worldwide Preferences for Python & R

Kaggle conducts industry-wide surveys to assess the state of data science and machine learning. Over 17,000 individuals worldwide participated in the survey, myself included, and 171 countries and territories are represented in the data. There is an ongoing debate regarding whether R or Python is better suited for Data Science (probably the latter, but I nevertheless prefer … Continue reading Kaggle Data Science Survey 2017: Worldwide Preferences for Python & R

AI at MIT (2010/2015): Part 1 – Introduction

AI at MIT (2010/2015): Part 1 – Introduction

Massachusetts Institute of Technology (MIT) hosts their entire 2010 course on artificial intelligence / machine learning by Professor Patrick Winston on YouTube. Although some parts seem already kind of dated seven years later, the videos on several evolving topics (e.g., Neural Networks) have been updated in the fall of 2015. The tutorial assignments you can … Continue reading AI at MIT (2010/2015): Part 1 – Introduction

Video: Bias in Machine Learning

Video: Bias in Machine Learning

Mainstream media have caught onto the difficulties of machine learning. Most saliently, they just love to report how AI and bots can be as racist, discriminatory, or biased as humans. Some examples: Microsoft's racist Twitter bot (Verge, 2016) Gender-biased text mining AI (Guardian, 2017) Racist criminal profiling bot (ProPublica, 2016) Google’s Sentiment Analyzer Thinks Being … Continue reading Video: Bias in Machine Learning