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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The importance of being Data Scientist
/0 Comments/in Artificial Intelligence, Business Analytics, Carrier, Data Science, Gerneral, Insights, Main Category /by Valentin CurtefHeader-Image by Clint Adair on Unsplash. The incredible results of Machine Learning and Artificial Intelligence, Deep Learning in particular, could give the impression that Data Scientist are like magician. Just think of it. Recognising faces of people, translating from one language to another, diagnosing diseases from images, computing which product should be shown for us […]
Mit Dashboards zur Prozessoptimierung
/0 Comments/in Business Analytics, Business Intelligence, Data Engineering, Data Mining, Data Science, Insights, Process Mining, Tools /by SignavioGeschäftlicher Erfolg ergibt sich oft aus den richtigen Fragen – zum Beispiel: „Wie kann ich sicherstellen, dass mein Produkt das beste ist?“, „Wie hebe ich mich von meinen Mitbewerbern ab?“ und „Wie baue ich mein Unternehmen weiter aus?“ Moderne Unternehmen gehen über derartige Fragen hinaus und stellen vielmehr die Funktionsweise ihrer Organisation in den Fokus. […]
AI Experts: The Next Frontier in AI After the 2020 Job Crisis
/12 Comments/in Artificial Intelligence, Data Science News /by Michael LyammBeware the perils of AI boom! Isn’t this something that should ring alarm bells to upgrade your AI skills. Artificial intelligence has grown smarter putting people in awe with a question, “Is my job safe?” Should we be afraid? It is but a simple question with a rather perplexing answer, I’m not skilled ready. Your […]
Why Retailers Are Making the Push for Stronger Data Science and AI
/0 Comments/in Insights, Use Cases /by Kaylae MatthewsRetail relies on what the customer wants and needs at that moment, no matter the size of the company. Making judgments without consumer input would probably work for a little while but will fall flat as soon as the business model becomes outdated. In today’s technology-run world, things can become obsolete in a matter of […]
Interview: Data Science im Einzelhandel
/0 Comments/in Data Science, Insights, Interviews, Main Category, Use Cases /by Benjamin AunkoferInterview mit Dr. Andreas Warntjen über den Weg zum daten-getriebenen Unternehmen – Data Science im Einzelhandel Zur Einführung der Person: Dr. Andreas Warntjen arbeitet seit Juli 2016 bei der Thalia Bücher GmbH, aktuell als Senior Manager Advanced and Predictive Analytics. Davor hat Herr Dr. Warntjen viele Jahre als Sozialwissenschaftler an ausländischen Universitäten geforscht. Er hat […]
How to Make Better Decisions
/0 Comments/in Uncategorized /by SignavioHumans make decisions all the time. Some of these decisions are minor, like what to wear or what to eat. Some may seem minor, but actually have the potential to make a huge difference in an individual’s life; deciding if it’s safe to cross the road, for example. Of course, as the relative power of […]
c/o data science – in care of data science
/in Events, Recommendations /by eventsAre you looking for a platform where you can personally exchange ideas with other data scientists and data geeks and share and discuss challenges? c/o data science is designed for YOU – be part of the premiere on November 12, 2019 at the Basecamp in Bonn! You can expect deep dive talks, hack sessions and […]
Glorious career paths of a Big Data Professional
/0 Comments/in Big Data, Business Analytics, Data Engineering, Data Security /by Digvijay UpadhyayAre you wondering about the career profiles you may get to fill if you get into Big Data industry? If yes, then Bingo! This is the post that will inform you just about that. Big data is just an umbrella term. There are a lot of profiles and career paths that are covered under this […]
Programmierung für OttoNormalVerbraucher
/0 Comments/in Business Analytics, Mathematics /by klausbeneckeFacebook und Co. arbeiten daran Nachrichten so aufzubereiten, dass sie emotional noch mehr ansprechen, als ob die gesellschaftliche Situation nicht schon aufgeheizt genug ist. Wir arbeiten daran dem Endnutzer Werkzeuge bereitzustellen um seine rationale Urteilskraft mit Hilfe des Computers zu stärken. Dafür benötigt man möglichst einfache aber dennoch leistungsstarke Programmiersprachen und umfangreiche, vertrauenswürdige, öffentlich zugängliche […]
Treffen Sie bessere Entscheidungen
/0 Comments/in Business Analytics, Business Intelligence, Insights, Main Category, Process Mining /by SignavioEntscheidungen prägen unseren Alltag, dies beginnt schon bei der Frage, was man anziehen oder essen soll. Andere hingegen mögen auf den ersten Blick unbedeutend erscheinen, können das Leben aber gravierend verändern, wie beispielsweise die Entscheidung, ob die Überquerung einer Straße sicher ist. Je größer die relative Macht eines Entscheidungsträgers ist, desto größer ist natürlich auch […]