In die Kategorie Analytics fallen sowohl die klassischen Data-driven-Business / BI-Themen (Data Warehouse, ETL, Reporting, Dashboards) als auch die neueren Trends in diesem Umfeld: Big Data, Data Science & Deep Learning und Search-based Applications.

Wir verstehen uns als Spezialist für anspruchsvolle Aufgaben in den Bereichen Data Management und Analytics, die unter Zeitdruck gelöst werden müssen und für die oftmals in den Unternehmen keine eigenen Fachleute verfügbar sind:

  • die Modellierung hochkomplexer Cubes,
  • die Integration heterogener Datenquellen,
  • der effiziente Umgang mit sehr großen Datenvolumina (Big Data),
  • die wissenschaftliche Analyse dieser Daten-Pools (Data Science) und
  • der Einsatz von innovativen Suchtechnologien im Unternehmenskontext.

Causal Inference: Introduction to Causal Effect Estimation

2020-03-23T12:55:32+00:00

Recently, there has been a surge in interest in Causal Inference. It is, however, not always clear what is meant by the term and what the respective methods can actually do. This post gives a high-level overview over the two major schools of Causal Inference and then dives deep into the basics of one of them.

Recently, there has been a surge in interest in what is called Causal Inference. It is, however, not always clear what is meant by the term and what the respective me

Causal Inference: Introduction to Causal Effect Estimation 2020-03-23T12:55:32+00:00

SocialVisTUM: Visualize and Label Clusters of Social Media Texts

2020-03-16T10:10:26+00:00

We developed SocialVisTUM, a new user-friendly visualization and labeling toolkit which enables users to get a quick and comprehensible visual overview of topics and topic relations for any English text corpus and can be accessed online. Read on for the details and an interactive demo!

Web sources such as social networks, internet forums, and user reviews, provide large amounts of unstructured text data. Due to the steady development of new platform

SocialVisTUM: Visualize and Label Clusters of Social Media Texts 2020-03-16T10:10:26+00:00

3D Deep Learning with TensorFlow 2

2020-03-09T17:36:48+00:00

In this blog post, we will first have a look at 3D deep learning with PointNet. Its creators provide a TensorFlow 1.x implementation of PointNet on Github, but since TensorFlow 2.0 was released in the meantime, we will transform it into an idiomatic TensorFlow 2 implementation in the second part of this post.

The world that we interact with each and every day is three-dimensional, but the majority of deep learning models process visual data as 2D images. However, there are

3D Deep Learning with TensorFlow 2 2020-03-09T17:36:48+00:00

Prefect: Das zeitgemäße Airflow?

2020-03-09T17:38:01+00:00

Prefect ist ein neues Workflow-Management-Tool das Airflow den Kampf angesagt hat und es mittelfristig von der Spitze verdrängen will. Mit einer leicht verständlichen Einführung erfahrt ihr hier, ob das Projekt seinen Ambitionen gerecht werden kann.

Was nicht passt wird passend gemacht! Das dachten sich vermutlich die Entwickler von Prefect, als die Idee für ihr Projekt entstand. Es will sich als eine Art Weitere

Prefect: Das zeitgemäße Airflow? 2020-03-09T17:38:01+00:00

Machine Learning on the Edge for Parking Guidance Systems

2020-01-07T15:42:43+00:00

Machine Learning on the Edge becomes more and more important for Smart Cities. We investigate how Deep Learning models can be optimized and deployed on edge devices for smart parking guidance systems.

This blog post investigates how deep learning models can be optimized and deployed on edge devices for parking guidance systems. I will present two different approach

Machine Learning on the Edge for Parking Guidance Systems 2020-01-07T15:42:43+00:00

Recognizing & Assessing Recurrent Human Activity with Wearable Sensors

2020-03-09T17:39:40+00:00

I used the distributed sensor system SensX to detect, identify and assess the quality of human motion in workouts. This article introduces the sequential process chain I implemented for analyzing multi-dimensional time-series with algorithms of supervised machine learning.

The visions created by the Internet of Things, which encompass the seamless embedding of the virtual world into daily human life have become reality by now. In that c

Recognizing & Assessing Recurrent Human Activity with Wearable Sensors 2020-03-09T17:39:40+00:00

Transfer Learning for Text Classification with Siamese Networks

2020-03-19T10:02:10+00:00

In this blogpost, I want to present my master's thesis, which focused on transfer learning for text classification using Siamese Networks.

Text classification is a field in natural language processing (NLP), which assigns text to given classes. With applications in sentiment analysis, spam detection or i

Transfer Learning for Text Classification with Siamese Networks 2020-03-19T10:02:10+00:00

Uncertainty Quantification in Deep Learning

2019-10-09T14:17:31+00:00

Teach your Deep Neural Network to be aware of its epistemic and aleatory uncertainty. Get a quantified confidence measure for your Deep Learning predictions.

Artificial Intelligence—and machine learning in particular—have come a long way since their early beginnings. The widespread availability and affordability of powerfu

Uncertainty Quantification in Deep Learning 2019-10-09T14:17:31+00:00

Multimodal Sequential Recommender Systems

2019-09-02T14:54:44+00:00

Sequential recommender systems are based on sequential user representations for a given user and sequence length. Each sequence consists of several items in temporal order. Sequential recommender systems aim at exploiting the temporal information that is hidden in the sequence of item interactions of the given user.

Since the invention of the internet, the availability and amount of information has increased steadily. Today we are facing problems of information overload and an ov

Multimodal Sequential Recommender Systems 2019-09-02T14:54:44+00:00

Turnilo: A Lightweight Frontend for Realtime Analytics Powered by Apache Druid

2020-03-09T18:01:39+00:00

In this post, we introduce Turnilo, explain its configuration and usage and share our evaluation outcome. For completeness, we also provide a list of current alternatives.

We frequently help our customers implement data platforms on a grand scale: as a backend for user-facing applications, for business analytics or data science and mach

Turnilo: A Lightweight Frontend for Realtime Analytics Powered by Apache Druid 2020-03-09T18:01:39+00:00

Digitize your Receipts using Computer Vision

2019-08-08T13:00:31+00:00

In this article I describe the steps and approaches to image recognition for receipt digitalization using computer vision. This is the basic functionality behind apps such as Google Lens, Evernote, PaperScan and taggun.io.

“Would you like the receipt?”—It’s hard to say no to that. Not because you actually want it (you may even throw it in the trash before exiting the store), but because

Digitize your Receipts using Computer Vision 2019-08-08T13:00:31+00:00

Summarizing Long Texts with Seq2Seq Neural Networks

2019-07-08T09:24:24+00:00

We extend state-of-the-art  sequence-to-sequence neural networks for summarization of long text across windows. By learning transitions, we are able to process arbitrarily long texts during inference.

This blog post describes my master thesis "Abstractive Summarization for Long Texts". We’ve extended existing state-of-the-art  sequence-to-sequence (Seq2Seq) neural net

Summarizing Long Texts with Seq2Seq Neural Networks 2019-07-08T09:24:24+00:00

Machine Learning Interpretability: Explaining Blackbox Models with LIME (Part II)

2019-06-04T16:14:33+00:00

The idea behind the model-agnostic technique LIME is to approximate a complex model locally by an interpretable model and to use that simple model to explain a prediction of a particular instance of interest.

This is the second part of our series about Machine Learning interpretability. We want to describe LIME (Local Interpretable Model-Agnostic Explanations), a popular t

Machine Learning Interpretability: Explaining Blackbox Models with LIME (Part II) 2019-06-04T16:14:33+00:00

Reinforcement Learning Walkthrough: Introduction (Part 1)

2020-03-09T18:02:41+00:00

This blog explains the basic concept of Reinforcement Learning, giving you an understanding of the closed loop system, in which an agent uses actions to change the state of the environment and thus receives rewards, with the goal of maximizing the return.

I would like to start this series about reinforcement learning by giving an overview of what reinforcement learning is, what it is used for and what terminology is ne

Reinforcement Learning Walkthrough: Introduction (Part 1) 2020-03-09T18:02:41+00:00

The Mystery of Entropy: How to Measure Unpredictability in Machine Learning

2019-05-13T11:34:47+00:00

Entropy is a significant, widely used and above all successful measure for quantifying eg. inhomogeneity, uncertainty or unpredictability. It is an integral part of the latest machine learning models deployed on real-world data sets. In this article, I want to highlight the simplicity, beauty and meaning of entropy.

If you are dealing with Statistics, Data Science, Machine Learning, Artificial Intelligence or even general Computer Science, Mathematics, Engineering or Physics, you

The Mystery of Entropy: How to Measure Unpredictability in Machine Learning 2019-05-13T11:34:47+00:00
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