My elaborate study notes on reinforcement learning
I will not tell you why, but all of a sudden I was in need of writing an article series on Reinforcement Learning. Though…
AI Platforms - A Comprehensive Guide
A comprehensive guide compiled to introduce readers to AI platforms, their types, and benefits. A concluding section to discuss…
Predictive Maintenance – Konzept und Chancen
(Maschinen)Zeit ist kostbar. Das trifft besonders auf produzierende Unternehmen zu. Denn hier gilt, jeder Stillstand einer…
How to Successfully Perform a Data Quality Assessment (DQA)
People generate 2.5 quintillion bytes of data every single day. That’s 1.7 megabytes generated every second for each of…
Coffee Shop Location Predictor
As part of this article, we will explore the main steps involved in predicting the best location for a coffee shop in Vancouver.…
What Is Data Lake Architecture?
The volume of information produced by everyone in the world is growing exponentially. To put it in perspective, it’s estimated…
Artikelserie: BI Tools im Vergleich – Qlik Sense
Dies ist ein Artikel der Artikel-Serie “BI Tools im Vergleich – Einführung und Motivation“, zu der auch die vorab…
How Microsoft Azure Is Impacting Financial Companies
Microsoft Azure has taken a large chunk of the cloud marketplace, transforming companies with the speed and security of the…
Zusatz-Studium „Data Science and Big Data“ an der TU Dortmund
Anzeige
Jetzt anmelden für das weiterbildendes Studium „Data Science and Big Data“ an der Technischen Universität…
Rethinking linear algebra part two: ellipsoids in data science
*This is the fourth article of my article series "Illustrative introductions on dimension reduction."
1 Our expedition of…
My elaborate study notes on reinforcement learning
/0 Comments/in Artificial Intelligence, Data Science, Data Science Hack, Deep Learning, Machine Learning, Main Category, Use Cases /by Yasuto TamuraI will not tell you why, but all of a sudden I was in need of writing an article series on Reinforcement Learning. Though I am also a beginner in reinforcement learning field. Everything I knew was what I learned from one online lecture conducted in a lazy tone in my college. However in the […]
AI Platforms – A Comprehensive Guide
/0 Comments/in Tool Introduction /by Jaimin DaveA comprehensive guide compiled to introduce readers to AI platforms, their types, and benefits. A concluding section to discuss AI platform selection strategy with Attri’s Best of Breed approach to build AI platforms. Don’t you think that this century is really fortunate? In my opinion, the answer is yes; we witnessed technological transformations and their […]
Predictive Maintenance – Konzept und Chancen
/0 Comments/in Uncategorized /by Georg Ungerböck(Maschinen)Zeit ist kostbar. Das trifft besonders auf produzierende Unternehmen zu. Denn hier gilt, jeder Stillstand einer Anlage kostet wertvolle Produktionskapazität. Stillstände einer Maschine lassen sich nicht 100%ig vermeiden, nur können sie mit dem passenden Predictive Maintenance Konzept (im weiteren Text als PdM abgekürzt) reduziert und besser planbar gemacht werden. Mit intelligenten Add-ons wie IoT Anbindung […]
How to Successfully Perform a Data Quality Assessment (DQA)
/0 Comments/in Business Analytics, Data Migration, Data Warehousing /by Shannon FlynnPeople generate 2.5 quintillion bytes of data every single day. That’s 1.7 megabytes generated every second for each of the 7.8 billion residents of Earth. A lot of that information is junk that somebody can easily discard, but just as much can prove to be vital. How do you tell the difference? According to industry […]
Coffee Shop Location Predictor
/0 Comments/in Data Mining, Data Science, Data Science Hack, Main Category, Predictive Analytics, Python, Tutorial, Visualization /by Mrinalini SunderAs part of this article, we will explore the main steps involved in predicting the best location for a coffee shop in Vancouver. We will also take into consideration that the coffee shop is near a transit station, and has no Starbucks near it. Well, while at it, let us also add an extra feature […]
What Is Data Lake Architecture?
/0 Comments/in Data Engineering, Data Warehousing /by Shannon FlynnThe volume of information produced by everyone in the world is growing exponentially. To put it in perspective, it’s estimated that by 2023 the big data analytics market will reach $103 billion. Finding probable solutions for storing big data is a challenge. It’s no easy task to hold enormous amounts of information, clean it and […]
Artikelserie: BI Tools im Vergleich – Qlik Sense
/0 Comments/in Business Analytics, Business Intelligence, Main Category, Tool Introduction, Visualization /by Benjamin AunkoferDies ist ein Artikel der Artikel-Serie “BI Tools im Vergleich – Einführung und Motivation“, zu der auch die vorab sehr lesenswerten einführenden Worte und die Ausführungen zur Datenbasis gehören. Auf Grundlage derselben Daten wurde analog zu diesem Artikel hier auch ein Artikel über Microsoft Power BI und einen zu Tableau. Übrigens gibt es auch Erweiterungen für Qlik […]
How Microsoft Azure Is Impacting Financial Companies
/0 Comments/in Cloud, Insights, Use Cases /by Renata KalsbeekMicrosoft Azure has taken a large chunk of the cloud marketplace, transforming companies with the speed and security of the cloud. Microsoft has over the years used Azure to cushion companies against risk, deal with fraud and differentiate their customer experience. With Microsoft Cloud App Security, customers experience 75% automatic threat elimination because of increased […]
Zusatz-Studium „Data Science and Big Data“ an der TU Dortmund
/0 Comments/in Certification / Training, Education / Certification, Sponsoring Partner Posts /by RedaktionAnzeige Jetzt anmelden für das weiterbildendes Studium „Data Science and Big Data“ an der Technischen Universität Dortmund! Im Februar 2022 startet das berufsbegleitenden weiterbildende Studium „Data Science and Big Data“ an der Technischen Universität Dortmund zum 6. Mal. Renommierte Wissenschaftlerinnen und Wissenschaftlern vermitteln Ihnen die neuesten datenwissenschaftlichen Erkenntnisse und zeigen, wie dieses Wissen praxisnah im […]
Rethinking linear algebra part two: ellipsoids in data science
/0 Comments/in Artificial Intelligence, Data Mining, Data Science, Data Science Hack, Machine Learning, Main Category, Python, Tutorial /by Yasuto Tamura*This is the fourth article of my article series “Illustrative introductions on dimension reduction.” 1 Our expedition of eigenvectors still continues This article is still going to be about eigenvectors and PCA, and this article still will not cover LDA (linear discriminant analysis). Hereby I would like you to have more organic links of the […]