The Future of AI in Dental Technology
As we develop more advanced technology, we begin to learn that artificial intelligence can have more and more of an impact…
Simple Linear Regression: Mathematics explained with implementation in numpy
Simple Linear Regression
Being in the field of data science, we all are familiar with at least some of the measures shown…
Marketing Attribution Models
Why do we need attribution?
Attribution - is the process of distributing the value of a purchase between the various channels,…
The Power of Analyzing Processes
Are you thinking BIG enough? Over the past few years, the quality of discussion regarding a ‘process’ and its interfaces…
Accelerate your AI Skills Today: A Million Dollar Job!
The skyrocketing salaries ($1m per year) of AI engineers is not a hype. It is the fact of current corporate world, where…
Das Potenzial von Prozessanalysen
Haben Sie das große Ganze im Blick? Die Diskussion rund um einen Prozess und seine Schnittstellen zwischen verschiedenen…
Visual Question Answering with Keras - Part 1
This is Part I of II of the Article Series Visual Question Answering with Keras
Making Computers Intelligent to answer…
The New Age of Big Data: Is It the Death of Hadoop?
Big Data had gone through several transformations through the years, growing into the phrase we identify it as today. From…
Whitepaper „Data-Management“: Wenn Daten auf Reisen gehen
Datenmanagement ist heutzutage ein komplexes Thema und schon lange nicht mehr nur die Aufgabe der Abteilung „EDV“. Unstrukturierte…
Understanding Dropout and implementing it on MNIST dataset
/0 Comments/in Data Science Hack, Python, TensorFlow, Tutorial /by Sarthak BabbarOver-fitting is a major problem in deep learning and a plethora of techniques have been introduced to prevent it. One of the most effective one is called “dropout”. Let’s use the analogy of a person going to gym for understanding this. Let’s say the person going to gym mostly uses his dominant arm, say his […]
Interview: Does Business Intelligence benefit from Cloud Data Warehousing?
/0 Comments/in Big Data, Cloud, Data Engineering, Data Security, Data Warehousing, Database, Insights, Interviews, Sponsoring Partner Posts /by Benjamin AunkoferInterview with Ross Perez, Senior Director, Marketing EMEA at Snowflake Read this article in German: “Profitiert Business Intelligence vom Data Warehouse in der Cloud?” Does Business Intelligence benefit from Cloud Data Warehousing? Ross Perez is the Senior Director, Marketing EMEA at Snowflake. He leads the Snowflake marketing team in EMEA and is charged with starting […]
Allgemeines über Geodaten
/0 Comments/in Big Data, Business Analytics, Business Intelligence, Data Science, Insights, Main Category, Visualization /by Christopher KippDieser Artikel ist der Auftakt in einer Artikelserie zum Thema “Geodatenanalyse”. Von den vielen Arten an Datensätzen, die öffentlich im Internet verfügbar sind, bin ich in letzter Zeit vermehrt über eine besonders interessante Gruppe gestolpert, die sich gleich für mehrere Zwecke nutzen lassen: Geodaten. Gerade in wirtschaftlicher Hinsicht bieten sich eine ganze Reihe von Anwendungsfällen, […]
Attribution Models in Marketing
/0 Comments/in Big Data, Business Analytics, Business Intelligence, Data Mining, Data Science, Insights, Machine Learning, Main Category, Predictive Analytics, Statistics, Use Case, Use Cases /by Barbara StaronAttribution Models A Business and Statistical Case INTRODUCTION A desire to understand the causal effect of campaigns on KPIs Advertising and marketing costs represent a huge and ever more growing part of the budget of companies. Studies have found out this share is as high as 10% and increases with the size of companies (CMO […]
Was der BREXIT für die Cloud-Strategie bedeutet
/0 Comments/in Cloud, Data Science News, Datacenter, Gerneral, Insights, Sponsoring Partner Posts /by Bob MugliaDatensouveränität wird nach dem Brexit eine der größten Herausforderungen für Unternehmen sein. Geschäftsführer sind sich der Bedeutung dessen bewusst und fürchten die Gefahr eines „Data cliff edge“, wenn die Trennung Großbritanniens von der EU endgültig beschlossene Sache sein wird. Ohne ein klares Gespür dafür zu haben, welche Vorschriften und Compliance-Anforderungen bald gelten werden, versuchen britische […]
Introduction to ROC Curve
/0 Comments/in Artificial Intelligence, Data Mining, Data Science, Deep Learning, Machine Learning, Main Category, Predictive Analytics /by rohitmishraThe abbreviation ROC stands for Receiver Operating Characteristic. Its main purpose is to illustrate the diagnostic ability of classifier as the discrimination threshold is varied. It was developed during World War II when Radar operators had to decide if the blip on the screen is an enemy target, a friendly ship or just a noise. […]
Team Up für Cloud-Daten-Lösungen
/0 Comments/in Cloud, Insights, Sponsoring Partner Posts /by Arjan van StaverenHeute bestimmen Daten die Welt. Snowflake ermöglicht Unternehmen, ihre Daten über mehrere Clouds hinweg zu speichern und zu analysieren. In einer Zusammenarbeit mit dem Energiegiganten Uniper ermöglicht das Data Warehouse erstklassige Leistung, Benutzerfreundlichkeit und Parallelität für die Daten: Uniper hat sich, mit einer Leistung von ca. 36 Gigawatt, eine Stellung in der ersten Reihe der […]
MeetUp: Classifying Text Data with Embeddings // How to become a data scientist
/0 Comments/in Uncategorized /by eventsWelcome to our 3rd DATANOMIQ Data Science MeetUp, in Berlin! April 3rd: 6 pm until 8 pm. Click the link to participate: https://www.meetup.com/de-DE/DATANOMIQ-Data-Science-Berlin/events/257098910/ Today’s topic is all about Classifying Text Data with Embeddings, presented by Artur Zeitler. Artur is a data scientist at DATANOMIQ. Make sure to come early to grab a voucher for a […]
NetApp Technologie Forum Nord/Ost
/1 Comment/in Data Science News, Events, Sponsoring Partner Posts /by netappSehr geehrter Kunden und Technik-Enthusiasten, mehr wissen ist immer gut und ein hervorragender Grund das NetApp Technologie Forum Nordost zu besuchen. Unter dem Motto „aus der Region für die Region“ und bei unserem Kunden und Gastgeber der Medizinische Hochschule Hannover erfahren Sie, wie NetApp mit der Data Fabric die Konstitution Ihrer Dateninfrastruktur in Zeiten der […]
A Gentle Introduction to Precision and Recall.
/0 Comments/in Data Science, Main Category /by rohitmishraThe idea of this blog is to give an intuitive understanding of Precision and Recall for a binary classification problem. I will shy away from explaining it in a textbook way but rather will try to give an intuition. Nevertheless, let me write the textbook formula first: The problem with this nomenclature is that despite […]