Core ML – inference on iOS 08/20/19 by Nico Axtmann In machine learning, we are training a model for a particular task, e.g. distinguishing dogs and cats in pictures. Inference... Read more Leave your thoughts
Hands-on Spark intro: Cross Join customers and products with business logic 08/06/19 by Niklas Haas In this blog post, I want to share my aha moments with you I had during the development of my... Read more Leave your thoughts
Move n-gram extraction into your Keras model! 07/19/19 by Thomas Timmermann N-gram extraction can boost the performance of your text processing model. Add it as a frozen layer and leave everything else untouched! Read more Leave your thoughts
Deploying a recommender system for the movie-lens dataset – Part 1 07/16/19 by Sherri Hadian In this post I will discuss building a simple recommender system for a movie database which will suggest top movies and predict user votes. Read more Leave your thoughts
Assessing bias in search results 05/07/19 by Myriam Traub In this article, I describe the idea behind the retrievability metric which can be used to measure bias in search results. Read more Leave your thoughts
Can you win the stacking challenge? An example of heuristic optimization 03/27/19 by Dominik Ballreich How to use heuristic algorithms to solve complicated optimization problems: Can you win the stacking challenge? Read more Leave your thoughts
Machine learning: Moving from experiments to production 03/19/19 by Roman Seyffarth Join me as I go back to the drawing board and think about approaches to plan an ML pipeline that fits your organization’s needs. We'll look at goals, technical approaches and an example architecture. Read more Leave your thoughts
A walkthrough of DVC 03/13/19 by Bert Besser How to systematially organize Machine Learning model development? Meet DVC (data version control), which supports you with this task. Read more Leave your thoughts
Convolutional neural networks for damage detection 03/11/19 by Dimitar Dimitrov and Giulio Cottone Hands-on convolutional neural networks with Keras and TensorFlow for damage detection in Predictive Maintenance. Read more Leave your thoughts
