Machine Learning

A short demonstration — A short demonstration If you’ve worked with deep learning before, you might know about the virtues of GPU acceleration. If not, allow me to give you a short demonstration. In this scenario, I’ve copied a small convolutional neural network written in Keras from one of our weekly training sessions at Vantage AI. It…

What are Hopfield Networks, and how can they be used? An aesthetically-pleasing point of entry into recurrent neural networks — — OVERVIEW — This article covers Hopfield Networks — recurrent neural networks capable of storing and retrieving multiple memories. We’ll begin with an in-depth conceptual overview, then move to an implementation of Hopfield Networks from scratch in python; here we’ll construct, train, animate, and track various statistics of our network. Finally, we’ll end…

How Instacart’s Fulfillment Technology group is working to make picking all of the items on your list as painless as possible — Authors: Benjamin S. Knight & Jason Cromer Introduction Is that wedge of Wisconsin sharp cheddar you’re looking for sitting in the Dairy section, or the Deli section? 🤔 What about that bag of flour you needed — do you look for it in Baked Goods or the Pantry aisle? Whether it…

Curve fitting is the problem that underlies all of machine learning — Curve fitting is one of the most theoretically challenging parts of machine learning, primarily due to how important it is to the end result. While it might not pose a challenge when working with relatively simple datasets with a few features, in more complicated projects an improper fit is much…

A case study on how we built our first Content Machine Learning platform at Booking.com — A case study on how we built our first Content Machine Learning platform at Booking.com In the past year, my team has built an objectively great platform, from the very early phase of ideation to production at scale. This platform is widely used across teams within the Booking.com organization, with…

Above are three pairs of graphs. The top graph is the original function, f(x), and the bottom graph is the derivative, f’(x). — Above are three pairs of graphs. The top graph is the original function, f(x), and the bottom graph is the derivative, f’(x). What do you notice about each pair? If the slope of f(x) is negative, then the graph of f’(x) will be below the x-axis. If the slope of…

How to make datasets comparison without row comparing — In my previous articles (post one and post two), I described how you can handle homogeneous data sources stored as Apache Parquet files of moderate size (~500 MB). But what if you need to deal with Big Data? How can you test it by using Great Expectations on AWS? How…