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Weekly Selection – June 14, 2019

Towards Data Science is partnering with Toronto Machine Learning Summit for our first event! If you are interested in speaking at TMLS this…

Towards Data Science is partnering with Toronto Machine Learning Summit for our first event! If you are interested in speaking at TMLS this year, feel free to submit your abstract now. ✨ Read more.

Jupyter is the new Excel

By Semi Koen – 7 min read

Why traders and finance professionals need to learn Python


Neural ODEs: breakdown of another deep learning breakthrough

By Alexandr Honchar – 11 min read

In this article, I will try to give a brief intro and the importance of this paper, but I will emphasize the practical use and how and for what we can apply this need breed of neural networks in applications and if can at all.


What is the Role of an A.I. Designer?

By Amanda Linden – 6 min read

About 4 months ago, I began managing the product design organization for Facebook’s Artificial Intelligence team. We are a central organization that provides AI services for Facebook, Instagram, and other Facebook apps. We also work to develop new experiences, powered by AI.


Do GANs Dream of Fake Images?

By Gidi Shperber – 13 min read

A deep-dive into image forensics: the effort of telling apart real images from fake ones


Choosing The Right Database

By Jun Wu – 4 min read

A critical step in starting any database project: relational vs. non-relational, CAP Theorem and more.


Text Processing Is Coming

By Madeline McCombe – 12 min read

How to use Regular Expression (Regex) and the Natural Language Toolkit (NLTK) on Game of Thrones Book 1


Alexa, Alex, or Al?

By Nahua Kang – 6 min read 3 Suggestions to Fight Gender Biases in AI Assistants


Predicting Customer Lifetime Value with "Buy ‘Til You Die" probabilistic models in Python

By Luca De Angelis – 11 min read

What is a customer worth? How many more times a customer will purchase before churning? How likely is he to churn within the next 3 months? And above all, how long should we expect a customer to be "alive" for?


How Machine Learning can help identify Effectiveness and Adverseness of a Drug

By Dipen Chawla – 10 min read

Building a system for processing text reviews of neurological drugs by employing ML algorithms to provide an overview of the effectiveness or adverse reactions in the form of an insightful and visually informative representation.


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