(The 2016 Machine Intelligence landscape and post can be found here)
By Naseem Hakim & Aaron Keys
Chris Pinchak | Pinterest engineer, Discovery
The home feed should be a reflection of what each user cares about. Content is sourced from inputs such as people and boards the user follows, interests, and recommendations. To ensure we maintain fast…
Google’s word2vec project has created lots of interests in the text mining community. It’s a neural network language model that is “both supervised and unsupervised”. Unsupervised in the sense that you…
This content originally appeared on Curious Insight
This post is part of a series covering the exercises from Andrew Ng’s machine learning class on Coursera. The original code, exercise text, and data files for this post are…
Ningning Hu | Pinterest engineer, Discovery
The core value of Pinterest is to help people find the things they care about, by connecting them to Pins and people that relate to their interests. We’re building a service that’s powered by people, and…
These were the top 10 stories tagged with Machine Learning in 2014. You can also dive into monthly archives for 2014 by using the calendar at the top of this page.