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.
Six properties of modern Business Intelligence
/0 Comments/in Business Analytics, Business Intelligence, Data Mining, Data Science, Gerneral, Insights, Main Category, Predictive Analytics, Process Mining /by Benjamin AunkoferRegardless of the industry in which you operate, you need information systems that evaluate your business data in order to provide you with a basis for decision-making. These systems are commonly referred to as so-called business intelligence (BI). In fact, most BI systems suffer from deficiencies that can be eliminated. In addition, modern BI can […]
Interview – There is no stand-alone strategy for AI, it must be part of the company-wide strategy
/0 Comments/in Data Science News, Gerneral, Insights, Interviews /by Benjamin AunkoferRonny Fehling is Partner and Associate Director for Artificial Intelligence as the Boston Consulting Group GAMMA. With more than 20 years of continually progressive experience in leading business and technology innovation, spearheading digital transformation, and aligning the corporate strategy with Artificial Intelligence he industry-leading organizations to grow their top-line and kick-start their digital transformation. Ronny […]
Simplify Vendor Onboarding with Automated Data Integration
/0 Comments/in Data Engineering, Data Warehousing, Insights, Main Category /by Tehreem NaeemVendor onboarding is a key business process that involves collecting and processing large data volumes from one or multiple vendors. Business users need vendor information in a standardized format to use it for subsequent data processes. However, consolidating and standardizing data for each new vendor requires IT teams to write code for custom integration flows, […]
Interview – Predictive Maintenance and how it can unleash cost savings
/0 Comments/in Data Science, Gerneral, Insights, Interviews, Predictive Analytics /by Benjamin AunkoferInterview with Dr. Kai Goebel, Principal Scientist at PARC, a Xerox Company, about Predictive Maintenance and how it can unleash cost savings. Dr. Kai Goebel is principal scientist as PARC with more than two decades experience in corporate and government research organizations. He is responsible for leading applied research on state awareness, prognostics and decision-making […]
A gentle introduction to the tiresome part of understanding RNN
/4 Comments/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Mathematics, Uncategorized /by Yasuto TamuraJust as a normal conversation in a random pub or bar in Berlin, people often ask me “Which language do you use?” I always answer “LaTeX and PowerPoint.” I have been doing an internship at DATANOMIQ and trying to make straightforward but precise study materials on deep learning. I myself started learning machine learning in […]
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 […]