Illustrative introductions on dimension reduction
"What is your image on dimensions?"
....That might be a cheesy question to ask to reader of Data Science Blog, but most…Spiky cubes, Pac-Man walking, empty M&M's chocolate: curse of dimensionality
"Curse of dimensionality" means the difficulties of machine learning which arise when the dimension of data is higher. In…
Back propagation of LSTM: just get ready for the most tiresome part
First of all, the summary of this article is "please just download my Power Point slides and be patient, following the equations."…
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.
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…
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 verticals.…
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.
AI Voice Assistants are the Next Revolution: How Prepared are You?
According to Jeff Bezos, Amazon CEO, he says we’re already living in the golden era of artificial intelligence as such where the voice assistant flagship already exists, i.e. Alexa.
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Data Science – A Beautiful Data Driven Journey
/0 Comments/in Certification / Training, Education / Certification /by Bharani KumarData Science is a profession related to processing algorithms and extracting deep insights from raw data. It depicts the importance of data and how it can be used in business and to make IT strategies. For recognizing the new ventures available in the market, identifying the patterns and to make better business decisions, data science […]
How Data Science Can Benefit Nonprofits
/0 Comments/in Data Science, Use Case /by Luke SmithImage Source: https://pixabay.com/vectors/pixel-cells-pixel-creative-commons-3704068/ Data science is the poster child of the 21st century and for good reason. Data-based decisions have streamlined, automated, and made businesses more efficient than ever before, and there are practically no industries that haven’t recognized its immense potential. But when you think of data science application, sectors like marketing, finance, technology, […]
Interview: Data Science in der Finanzbranche
/0 Comments/in Data Science, Insights, Interviews, Main Category /by Benjamin AunkoferInterview mit Torsten Nahm von der DKB (Deutsche Kreditbank AG) über Data Science in der Finanzbranche Torsten Nahm ist Head of Data Science bei der DKB (Deutsche Kreditbank AG) in Berlin. Er hat Mathematik in Bonn mit einem Schwerpunkt auf Statistik und numerischen Methoden studiert. Er war zuvor u.a. als Berater bei KPMG und OliverWyman […]
A brief history of neural nets: everything you should know before learning LSTM
/0 Comments/in Artificial Intelligence, Data Mining, Data Science, Data Science Hack, Deep Learning, Machine Learning, Main Category, Predictive Analytics, TensorFlow /by Yasuto TamuraThis series is not a college course or something on deep learning with strict deadlines for assignments, so let’s take a detour from practical stuff and take a brief look at the history of neural networks. The history of neural networks is also a big topic, which could be so long that I had to […]
Sechs Eigenschaften einer modernen Business Intelligence
/1 Comment/in Artificial Intelligence, Business Analytics, Business Intelligence, Data Mining, Data Science, Data Science News, Data Warehousing, Database, Gerneral, Insights, Main Category, Predictive Analytics, Process Mining /by Benjamin AunkoferVöllig unabhängig von der Branche, in der Sie tätig sind, benötigen Sie Informationssysteme, die Ihre geschäftlichen Daten auswerten, um Ihnen Entscheidungsgrundlagen zu liefern. Diese Systeme werden gemeinläufig als sogenannte Business Intelligence (BI) bezeichnet. Tatsächlich leiden die meisten BI-Systeme an Mängeln, die abstellbar sind. Darüber hinaus kann moderne BI Entscheidungen teilweise automatisieren und umfassende Analysen bei […]
Data Analytics and Mining for Dummies
/1 Comment/in Data Mining, Data Science, Deep Learning, Predictive Analytics, Tool Introduction /by Sharma SrishtiData Analytics and Mining is often perceived as an extremely tricky task cut out for Data Analysts and Data Scientists having a thorough knowledge encompassing several different domains such as mathematics, statistics, computer algorithms and programming. However, there are several tools available today that make it possible for novice programmers or people with no absolutely […]
Data Science für Smart Home im familiengeführten Unternehmen Miele
/0 Comments/in Artificial Intelligence, Data Science, Insights, Interviews, Machine Learning, Main Category, Use Cases /by Benjamin AunkoferDr. Florian Nielsen ist Principal for AI und Data Science bei Miele im Bereich Smart Home und zuständig für die Entwicklung daten-getriebener digitaler Produkte und Produkterweiterungen. Der studierte Informatiker promovierte an der Universität Ulm zum Thema multimodale kognitive technische Systeme. Data Science Blog: Herr Dr. Nielsen, viele Unternehmen und Anwender reden heute schon von Smart […]
Process Mining Tools – Artikelserie
/0 Comments/in Business Analytics, Business Intelligence, Data Engineering, Data Warehousing, Gerneral, Insights, Main Category, Predictive Analytics, Process Mining, Tool Introduction, Visualization /by Jurek DörnerProcess Mining ist nicht länger nur ein Buzzword, sondern ein relevanter Teil der Business Intelligence. Process Mining umfasst die Analyse von Prozessen und lässt sich auf alle Branchen und Fachbereiche anwenden, die operative Prozesse haben, die wiederum über operative IT-Systeme erfasst werden. Um die zunehmende Bedeutung dieser Data-Disziplin zu verstehen, reicht ein Blick auf die […]
Zertifikatsstudium „Data Science and Big Data“ 2021 an der TU Dortmund
/0 Comments/in Certification / Training, Data Science News, Education / Certification, Sponsoring Partner Posts /by RedaktionAnzeige Komplexe Daten aufbereiten und analysieren, um daraus zukünftige Entwicklungen abzulesen: das lernen Sie im berufsbegleitenden Zertifikatsstudium „Data Science and Big Data“ an der TU Dortmund. Jetzt bewerben! Die Zielgruppe sind Fachkräfte, die sich in ihrer Berufspraxis mit Fragestellungen zum Thema Datenanalyse und Big Data befassen, jedoch nun tiefergehende Kenntnisse in dem Themenfeld erhalten möchten. […]
Simple RNN: the first foothold for understanding LSTM
/0 Comments/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 […]