Intelligent Segmentation in Marketplaces

This is a past event

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We're ramping up the Toronto Machine Learning Meetup for 2016!

In this Meetup, we will explore the application of unsupervised and supervised learning towards segmentation on both the supply and demand side of marketplaces.

The evening will feature two talks, an underlying theme in both is the human element as critical to effective machine learning:

• Ashish Bansal ( is Head of Data Sciences at Gale Partners ( Ashish will discuss how to make Unsupervised learning actionable and profitable using clustering + PCA combined with domain experts to create actionable marketing plans for customers. He will cover some of the extensions to k-means clustering and feature engineering tweaks with their application to Marketing Automation.

• Arthur Prévot ( is a ‎Data Analyst at Shopify ( Arthur will be speaking on what it really means to partition and categorize a network of merchants when distinctions between groups are not so clear cut. A tale of ETL, Feature Engineering, Classification, Mechanical Turks, and Gradient Ascent towards maximum GMV.

About Gale Partners ( GALE is a full-service digital marketing agency that brings together strategy, creativity, and technology to deliver powerful brand experiences. Using business expertise, analytics, and consumer insights as a framework, GALE develops innovative creative that resonates with consumers, while driving business results for brands.

About Shopify (NYSE: SHOP) ( Shopify Inc. provides a cloud-based and multi-channel commerce platform for small and medium-sized businesses. Its platform provides merchants with a single view of their business and customers in various sales channels, including Web and mobile storefronts, social media storefronts, mobile apps, and physical retail locations; and enables them to manage products and inventory, process orders and payments, ship orders, build customer relationships, and leverage analytics and reporting.

Many thanks to Shopify ( for hosting our event. Look forward to seeing everyone on Tues March 1st.