Thinking AI means re-thinking data 05/28/20 by Marcel Mikl While doing AI is sexy and cool, data infrastructure is not considered any of this, even though machine learning applications rely on it. Read more Leave your thoughts
Evaluating machine learning models: The issue with test data sets 04/21/20 by Berthold Schulte By using a representative test set and various metrics, machine learning models can be evaluated and compared. Read more Leave your thoughts
Great Expectations: Validating datasets in machine learning pipelines 02/17/20 by Marcel Mikl Machine learning models don't care if an input dataset is correct, thus validating datasets beforehand is strongly advised. Read more Leave your thoughts
Tackling climate change with machine learning [part 6] – Datasets & further resources 09/27/19 by Paul Strobel This blog post series provides a summary of a paper which discusses machine learning solutions for climate change. Read more Leave your thoughts
Tackling climate change with machine learning [part 2] – Transportation 09/23/19 by Paul Strobel By loading the video, you accept YouTube's privacy policy.Learn more Load video Always unlock YouTube On 10th of June, 2019,... Read more Leave your thoughts
Tackling climate change with machine learning [part 1] – Electricity systems 09/20/19 by Paul Strobel This blog post series provides a summary of a paper which discusses machine learning solutions to tackle climate change. Read more Leave your thoughts
DVC dependency management – a guide 08/27/19 by Bert Besser and Veronika Schwan This post is a follow-up to 'A walkthrough of DVC' that deals with managing dependencies between Machine Learning pipelines. 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
