This Week in Machine Learning, 14 August 2017

David Joyner
Udacity Inc
Published in
2 min readAug 14, 2017

This week’s top Machine Learning stories: identifying counterfeit items, playing Dota 2, delivering memes, and more!

Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. That’s why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments. New posts will be published here first, and previous posts are archived on the Udacity blog.

Whether you’re currently enrolled in our Machine Learning Nanodegree program, already working in the field, or just pursuing a burgeoning interest in the subject, there will always be something here to inspire you!

Science

Scientists at the Costa Rica Institute of Technology develop a system that uses deep learning to automatically classify species in natural history collections around the world.

Commerce

Researchers at New York University use machine learning to develop a system that can automatically distinguish between real and counterfeit consumer products.

Marketing

Persado, a marketing startup focused on applying artificial intelligence to advertising, finds that 86% of chief marketing officers plan to invest in machine learning and AI in 2017.

Gaming

A bot developed by Elon Musk’s OpenAI learns to play Dota 2 well enough in two weeks to defeat the world’s best players at The International, a large eSports tournament.

Finance

Hone Capital, a subsidiary of China-based private equity firm CSC Group, uses machine learning to predict which startups are most likely to reach success.

Social

17-year-old Anushk Mittal releases Memeois, a machine learning-powered app to curate and deliver memes to your smartphone based on your past preferences.

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David Joyner
Udacity Inc

Product lead at Udacity. Founder of LucyLabs. Instructor at Georgia Tech. Find me at DavidJoyner.net.