In-memory Data Grid vs. Distributed Cache: Which is Best?
Distributed caching has been a boon for IT professionals in the past due to its ability to make data always available even…
5 Data Privacy Predictions for 2021
2020 has been a significant year for data management. As businesses face new technological challenges amid the COVID-19 pandemic,…
How to develop digital products and solutions for industrial environments?
In this article, we substantiate why Data Science and Engineering should be introduced as new engineering discipline in the Product Lifecycle Management process.
Process Mining mit PAFnow - Artikelserie
Artikelserie zu Process Mining Tools - PAFnow
Der zweite Artikel der Artikelserie Process Mining Tools beschäftigt sich…
Test-data management support in Test Automation Development
Data is centric in testing of several applications because data is critical to organizations. Businesses are becoming more…
LSTM back propagation: following the flows of variables
First of all, the summary of this article is: please just download my Power Point slides which I made and be patient, following…
Hypothesis Test for real problems
A statistical hypothesis is a belief made about a population parameter. This belief may or might not be right. In other words, hypothesis testing is a proper technique utilized by scientist to support or reject statistical hypotheses. The foremost ideal approach to decide if a statistical hypothesis is correct is examine the whole population.
Must-have Skills to Master Data Science
The need to process a massive amount of data sets is making Data Science the most-demanded job across diverse industry…
Understanding LSTM forward propagation in two ways
*This article is only for the sake of understanding the equations in the second page of the paper named "LSTM: A Search Space…
Process Mining mit Celonis - Artikelserie
Insgesamt stellt Celonis ein unabhängiges und leistungsstarkes Process Mining Tool bereit, wobei der Anwender die Wahl zwischen einer on-Premise-Lösung sowie einer Cloud-Lösung hat. Die „prebuild Process-Connectors“ und die vordefinierten Analysen können ein Process Mining Projekt signifikant beschleunigen und somit die Time-to-Value lukrativ verkürzen. Die Analyse Tools sind leicht bedienbar und schaffen dank integrierter Machine Learning Algorithmen Optimierungspotentiale.
Simple RNN: the first foothold for understanding LSTM
/1 Comment/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Main Category, Mathematics /by Yasuto Tamura*In this article “Densely Connected Layers” is written as “DCL,” and “Convolutional Neural Network” as “CNN.” In the last article, I mentioned “When it comes to the structure of RNN, many study materials try to avoid showing that RNNs are also connections of neurons, as well as DCL or CNN.” Even if you manage to […]
Severity of lockdowns and how they are reflected in mobility data
/0 Comments/in Data Science, Data Science News, Insights /by Emilia CheladzeThe global spread of the SARS-CoV-2 at the beginning of March 2020 forced majority of countries to introduce measures to contain the virus. The governments found themselves facing a very difficult tradeoff between limiting the spread of the virus and bearing potentially catastrophic economical costs of a lockdown. Notably, considering the level of globalization today, […]
Capturing COVID: How and Why Data Mining is Being Used to Combat Coronavirus
/1 Comment/in Insights /by Luke SmithImage Source: Pixabay (https://pixabay.com/illustrations/artificial-intelligence-brain-think-3382507/) In just a few short months, the coronavirus pandemic has infiltrated pretty much every aspect of daily life. It has virtually decimated the global economy. It has taken our children out of their schools. It’s wrought havoc on an already overburdened healthcare system. That, however, is changing. And technology is the […]
Interview – Machine Learning in Marketing und CRM
/0 Comments/in Artificial Intelligence, Data Science, Data Science News, Gerneral, Insights, Interviews, Machine Learning, Main Category /by RedaktionInterview mit Herrn Laurenz Wuttke von der datasolut GmbH über Machine Learning in Marketing und CRM. Laurenz Wuttke ist Data Scientist und Gründer der datasolut GmbH. Er studierte Wirtschaftsinformatik an der Hochschule Hannover und befasst sich bereits seit 2011 mit Marketing- bzw. CRM-Systemen und der Datenanalyse. Heute ist er Dozent für Big Data im Marketing […]
How Text to Speech Voices Are Used In Data Science
/0 Comments/in Data Science News, Insights, Machine Learning, Main Category /by Walter T. CassadyTo speak on voices, text to speech platforms are bringing versatility to a new scale by implementing voices that sound more personal and less like a robot. As these services gain traction, vocal quality, and implementation improve to give sounds that feel like they’re speaking to you from a human mouth. The intention of most […]
Data Science Security Hacks
/1 Comment/in Insights /by Dan RadakIt would blow your mind if you had exposure to all the information available on the internet. The science behind it is very demanding. It could explain why there is such an explosion of intelligent systems. People come in with different skill sets, including math, data analysis, statistics, and programming, to name a few. They […]
Prerequisites for understanding RNN at a more mathematical level
/4 Comments/in Artificial Intelligence, Big Data, Data Science, Data Science Hack, Deep Learning, Gerneral, Insights, Machine Learning, Main Category, Natural Language Processing, Text Mining /by Yasuto TamuraWriting the A gentle introduction to the tiresome part of understanding RNN Article Series on recurrent neural network (RNN) is nothing like a creative or ingenious idea. It is quite an ordinary topic. But still I am going to write my own new article on this ordinary topic because I have been frustrated by lack of […]
Interview: Operationalisierung von Data Science
/0 Comments/in Artificial Intelligence, Big Data, Business Intelligence, Data Engineering, Data Mining, Data Science, Insights, Interviews, Main Category /by Benjamin AunkoferInterview mit Herrn Dr. Frank Block von Roche Diagnostics über Operationalisierung von Data Science Herr Dr. Frank Block ist Head of IT Data Science bei Roche Diagnostics mit Sitz in der Schweiz. Zuvor war er Chief Data Scientist bei der Ricardo AG nachdem er für andere Unternehmen die Datenanalytik verantwortet hatte und auch 20 Jahre […]
Einführung und Vertiefung in R Statistics mit den Dortmunder R-Kursen!
/0 Comments/in Carrier, Certification / Training, Education / Certification, Gerneral, R Statistics /by eventsIm Rahmen der Dortmunder R Kurse bieten wir unsere Expertise in Schulungen für die Programmiersprache R an. Zielgruppe unserer Fortbildungen sind nicht nur Statistiker, sondern auch Anwender jeder Fachrichtung aus Industrie und Forschungseinrichtungen, die mit R ihre Daten analysieren wollen. Die Dortmunder R-Kurse werden ausschließlich von Statistikern mit langjähriger Erfahrung angeboten. Die Referenten gehören zum engsten Kreis […]
As Businesses Struggle With ML, Automation Offers a Solution
/0 Comments/in Artificial Intelligence, Gerneral, Insights, Main Category /by Philip PileticIn recent years, machine learning technology and the business solutions it enables has developed into a big business in and of itself. According to the industry analysts at IDC, spending on ML and AI technology is set to grow to almost $98 billion per year by 2023. In practical terms, that figure represents a business […]