Building a Data Factory for ML Learning
There’s a rich history around the idea of data augmentation for Machine Learning. If you have a library of images you want to train a model on, you can use simple image manipulation techniques to c...
There’s a rich history around the idea of data augmentation for Machine Learning. If you have a library of images you want to train a model on, you can use simple image manipulation techniques to c...
The Measurement Minute #46 with Gary Angel : Too Sexy to be Useful - Data Science in the Enterprise Have enterprise's sacrificed too much in trying to make data science jobs as sexy as p...
The Measurement Minute #45 with Gary Angel : The Analytics Nexus Free. Online. Slack. Cutting-edge analytics. That's a pretty great formula for a digital analytics conference. ...
The Measurement Minute #44 with Gary Angel : Operationalizing ML Like most things, we tend to focus on the fun and interesting part of machine learning - creating models. But in many res...
We use a variety of sensors to track shopper movement in stores. And to do that more accurately, we re-engineered our processes to take advantage of machine learning. You can get the full skinny on t...
The Measurement Minute #43 with Gary Angel : The Funnel is Dead Customer Journey's are mostly thought of as a linear funnel. It's a common-sense view that helps make a complicated proces...
To understand why ML became the centerpiece of our location analytics strategy you have to understand why we had a problem in the first place. In this post, I’m going to describe how traditional lo...
The Measurement Minute #42 with Gary Angel : Giving Your ML a Helping Hand with Meta-data Adding context and data based on your existing data is a technique as old as analytics. Just bec...
Over the last six months we’ve aggressively re-engineered one of the key processes in our business to be Machine-Learning based. We use a variety of vendor technologies to collect data about shoppe...