Data Science für Smart Home im familiengeführten Unternehmen Miele
Dr. Florian Nielsen ist Principal for AI und Data Science bei Miele im Bereich Smart Home und zuständig für die Entwicklung…
Process Mining Tools - Artikelserie
Process Mining ist nicht länger nur ein Buzzword, sondern ein relevanter Teil der Business Intelligence. Process Mining…
Zertifikatsstudium „Data Science and Big Data“ 2021 an der TU Dortmund
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Komplexe Daten aufbereiten und analysieren, um daraus zukünftige Entwicklungen abzulesen: das lernen Sie im berufsbegleitenden…
Simple RNN: the first foothold for understanding LSTM
*In this article "Densely Connected Layers" is written as "DCL," and "Convolutional Neural Network" as "CNN."
In the last…
Severity of lockdowns and how they are reflected in mobility data
The global spread of the SARS-CoV-2 at the beginning of March 2020 forced majority of countries to introduce measures to…
Capturing COVID: How and Why Data Mining is Being Used to Combat Coronavirus
Image Source: Pixabay (https://pixabay.com/illustrations/artificial-intelligence-brain-think-3382507/)
In just a few short…
Interview - Machine Learning in Marketing und CRM
Interview mit Herrn Laurenz Wuttke von der datasolut GmbH über Machine Learning in Marketing und CRM.
Laurenz Wuttke ist…
How Text to Speech Voices Are Used In Data Science
To speak on voices, text to speech platforms are bringing versatility to a new scale by implementing voices that sound more…
Statistik Challenge
/0 Comments/in Events, Recommendations /by Daniela KellerBring Deine Arbeit einen großen Schritt voran. Mach mit bei der Statistik-Challenge! https://statistik-und-beratung.de/statistik-challenge/ Was? Die Challenge ist komplett gratis. Es gibt keinen Haken! Jeden Tag bekommst Du einen kurzen Statistik-Input von mir und ich beantworte Deine Statistikfragen. Anschließend arbeitet jeder für sich in Ruhe an seiner Arbeit. Nach dieser fokussierten Arbeitszeit klären wir in einer Abschlussrunde nochmal Deine neuen Fragen. Durch diese Challenge […]
Article series: 5 Clean Coding Tips – 5.Put yourself in somebody else’s shoes
/0 Comments/in Python, Tool Introduction, Tutorial /by Emilia CheladzeThis is the fifth of the article series “5 tips for clean coding” to follow as soon as you’ve made the first steps into your coding career, in this article series. Read the introduction here, to find out why it is important to write clean code if you missed it. It might be a bit […]
Deep Learning World – Virtual Edition 2020!
/0 Comments/in Events, Recommendations /by Editorial StaffDEEP LEARNING WORLD 2020 Virtual Edition, May 11-12, 2020 The premier conference covering the commercial deployment of deep learning Deep Learning is no longer the cool new discipline. Instead it has become another tool in the toolbox of the data scientist – but a very important one! Without RNN, CNN etc. many applications that make […]
The Data Surrounding Higher Education and COVID-19
/1 Comment/in Carrier, Data Science News, Education / Certification /by Luke SmithJust a few short weeks ago, it would have seemed impossible for some microscopic pathogen to upend our lives as we knew it, but the novel Coronavirus has proven us breathtakingly wrong. It has suddenly and unexpectedly changed everything we had thought was most stable and predictable in our lives, from the ways that we […]
Conversion Rate Optimization: Understanding the Sales Funnel
/0 Comments/in Customer Analytics, Insights, Main Category, Web- & App-Tracking /by True TamplinAre you capturing the attention of consumers or prospects with your content? Do they trust you enough to give you their contact information? Will they come back and buy from you again? Knowing how the sales funnel works and what you can do to improve it will take you down the road of success. Business […]
Business Data is changing the world’s view towards Green Energy
/0 Comments/in Uncategorized /by Ashish ParmarEnergy conservation is one of the main stressed points all around the globe. In the past 30 years, researches in the field of energy conservation and especially green energy have risen to another level. The positive outcomes of these researches have given us a gamut of technologies that can aid in preserving and utilize green […]
Interview: Künstliche Intelligenz in der Pharma-Forschung und -Entwicklung
/0 Comments/in Carrier, Events, Gerneral, Insights, Interview mit CIO, Interviews, Use Cases /by Benjamin AunkoferInterview mit Anna Bauer-Mehren, Head of Data Science in der Pharma-Forschung und -Entwicklung bei Roche in Penzberg Frau Dr. Bauer-Mehren ist Head of Data Science im Bereich Pharma-Forschung und -Entwicklung bei Roche in Penzberg. Sie studierte Bioinformatik an der LMU München und schloss ihre Promotion im Bereich Biomedizin an der Pompeu Fabra Universität im Jahr […]
Article series: 5 Clean Coding Tips – 4. Stop commenting the obvious
/0 Comments/in Python, Tool Introduction, Tutorial /by Emilia CheladzeThis is the fourth of the article series “5 tips for clean coding” to follow as soon as you’ve made the first steps into your coding career, in this article series. Read the introduction here, to find out why it is important to write clean code if you missed it. Everyone will tell you that […]
Predictive Analytics World 2020 Healthcare
/0 Comments/in Uncategorized /by Editorial StaffDifficult times call for creative measures Predictive Analytics World for Healthcare will go virtual and you still have time to join us! What do you have in store for me? We will provide a live-streamed virtual version of healthcare Munich 2020 on 11-12 May, 2020: you will be able to attend sessions and to interact and […]
Interview – IT-Netzwerk Werke überwachen und optimieren mit Data Analytics
/2 Comments/in Big Data, Data Mining, Data Science, Data Science News, Gerneral, Insights, Interview mit CIO, Interviews, Machine Learning, Use Cases /by Benjamin AunkoferInterview mit Gregory Blepp von NetDescribe über Data Analytics zur Überwachung und Optimierung von IT-Netzwerken Gregory Blepp ist Managing Director der NetDescribe GmbH mit Sitz in Oberhaching im Süden von München. Er befasst sich mit seinem Team aus Consultants, Data Scientists und IT-Netzwerk-Experten mit der technischen Analyse von IT-Netzwerken und der Automatisierung der Analyse über […]