A Brief Summary of the Kaggle Text Normalization Challenge

This post is written by Richard Sproat & Kyle Gorman from Google’s Speech & Language Algorithms Team. They hosted the recent, Text Normalization Challenges. Bios below. Now that the Kaggle Text Normalization Challenges for English and Russian are over, we would once again like to thank the hundreds of teams who participated and submitted results, and […]

Reviewing 2017 and Previewing 2018

2017 was a huge year for Kaggle. Aside from joining Google, it further marks the year that our community expanded from being primarily focused on machine learning competitions to a broader data science and machine learning platform. This year our public Datasets platform and Kaggle Kernels both grew ~3x, meaning we now further have a […]

An Intuitive Introduction to Generative Adversarial Networks

This article was jointly written by Keshav Dhandhania and Arash Delijani, bios below. In this article, I’ll talk about Generative Adversarial Networks, or GANs for short. GANs are one of the true few machine learning techniques that has provided fantastic performance for generative tasks, or more broadly unsupervised learning. In particular, they have provided splendid […]

Creating Value with Big Data Analytics (book review)

Verhoef, Kooge and Walk have written a detailed and technical book on the application of data analytics to Marketing. While not stated in the title, the subtitle makes it clear: the book is dedicated to people in Marketing and Sales. The strong academic background of the authors is transparent in the book, that is full […]