Machine learning

What are three current applications for AI?

What are three current applications for AI?

Artificial Intelligence (AI) is on a trajectory to become ubiquitous in every area of our lives. In this post, we explore three current applications of artificial intelligence in the real world and the machine learning techniques that make them work.

Natural Language Processing: Document Classification

Natural Language Processing: Document Classification

Document classification is currently one of the most important branches of Natural Language Processing (NLP). The general idea is to automatically classify documents into categories using machine learning algorithms.

The applications are almost endless, we can classify: patient records, movie reviews, webpages, emails (spam vs not spam), and in fact anything text based.

Recommender Systems: Generating Revenue Through Product Cross-Sell and Up-Sell

Recommender Systems: Generating Revenue Through Product Cross-Sell and Up-Sell

Recommender systems are reshaping the business world, especially E-commerce, in an unprecedented manner. They learn patterns of behaviors to predict someone's preference on a set of items they have not experienced. Over the past few years, thousands of companies have used recommender systems to help their customers find products to purchase, new movies to watch, songs to listen to, and even people they should interact with. 

Market Basket Analysis to Classify Shopping Trips

Market Basket Analysis to Classify Shopping Trips

Walmart recently hosted a Kaggle competition with the aim of improving a customers' shopping experience by segmenting their store visits into different trip types. Whether they're on a last minute run for school supplies or picking up their monthly prescriptions, classifying trip types enables Walmart to create the best shopping experience for every customer.