It’s generally agreed upon that machine learning is really good at making predictions with extensive data sets. Humans just can’t sift through billions of data […]
Wrangle a bunch of data together. Then clean the data. Next, engineer an endless list of features. Then build, train, and tweak a machine learning […]
When it comes to classification models in machine learning, a common hurdle for many businesses is how to take what seem like arbitrary scores from […]
Machine learning. Everybody is either doing it or trying to get their data organized so they can start. The list of use cases that ML […]
Minimizing churn is one of the keys to success for a subscription media or commerce business. Loyal customers create predictable and compounding revenue for your […]
Vidora enables anyone within an organization to quickly and easily take advantage of machine learning – even non-technical employees. We work closely with some of […]
Cortex enables businesses to continuously stream large-scale data into Machine Learning models ranging from recommendation models to event prediction models (e.g. who will convert on […]
Losing customers is costly for every business. But if you understand the who, when, and why of user inactivity, you can diagnose and reduce churn. […]
Cortex provides a robust automated machine learning platform. Many of our partners leverage Cortex to personalize offers, articles, videos, and goods. Therefore, with the launch […]
Deploying Machine Learning algorithms at scale for automation is challenging. To solve this problem, AutoML deals with the challenges of building Machine Learning models including […]
Vidora works with some of the largest global organizations. In doing so, we help them automate and optimize their businesses using AI. And today, we […]
Introduction At Vidora, we’ve been exploring the potential for learning techniques such as convolutional networks and autoencoders to improve our understanding of why users churn. […]