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…
Wie passt Machine Learning in eine moderne Data- & Analytics Architektur?
/0 Comments/in Cloud, Data Engineering, Data Migration, Data Science, Data Science Hack, Insights, Java, Machine Learning, Python, SQL, Tutorial /by Harald ErbEinleitung Aufgrund vielfältiger potenzieller Geschäftschancen, die Machine Learning bietet, arbeiten mittlerweile viele Unternehmen an Initiativen für datengetriebene Innovationen. Dabei gründen sie Analytics-Teams, schreiben neue Stellen für Data Scientists aus, bauen intern Know-how auf und fordern von der IT-Organisation eine Infrastruktur für “heavy” Data Engineering & Processing samt Bereitstellung einer Analytics-Toolbox ein. Für IT-Architekten warten hier […]
The Future of AI in Dental Technology
/0 Comments/in Artificial Intelligence, Big Data, Interviews /by Haroon BhuttaAs we develop more advanced technology, we begin to learn that artificial intelligence can have more and more of an impact on our lives and industries that we have gotten used to being the same over the past decades. One of those industries is dentistry. In your lifetime, you’ve probably not seen many changes in […]
Simple Linear Regression: Mathematics explained with implementation in numpy
/0 Comments/in Data Mining, Data Science, Machine Learning, Mathematics, Python /by Aakash ChughSimple Linear Regression Being in the field of data science, we all are familiar with at least some of the measures shown in figure 1.1 (generated in python using statsmodels). But do we really understand how these measures are being calculated? or what is the math behind these measures? In this article, I hope that […]
Marketing Attribution Models
/0 Comments/in Audit Analytics, Data Science, Uncategorized /by Sergey YevsiukovWhy do we need attribution? Attribution – is the process of distributing the value of a purchase between the various channels, used in the funnel chain. It allows you to determine the role of each channel in profit. It is used to assess the effectiveness of campaigns, to identify more priority sources. The competent choice […]
The Power of Analyzing Processes
/1 Comment/in Audit Analytics, Business Intelligence, Insights, Main Category, Process Mining /by SignavioAre you thinking BIG enough? Over the past few years, the quality of discussion regarding a ‘process’ and its interfaces between different departments has developed radically. Organizations increasingly reject guesswork, individual assessments, or blame-shifting and instead focus on objective facts: the display of throughput times, process variants, and their optimization. But while data can hold […]
Accelerate your AI Skills Today: A Million Dollar Job!
/0 Comments/in Artificial Intelligence, Carrier, Certification / Training, Education / Certification, Gerneral, Insights /by Michael LyammThe skyrocketing salaries ($1m per year) of AI engineers is not a hype. It is the fact of current corporate world, where you will witness a shift that is inevitable. We’ve already set our feet at the edge of the technological revolution. A revolution that is at the verge of altering the way we live […]
Das Potenzial von Prozessanalysen
/1 Comment/in Audit Analytics, Business Intelligence, Insights, Main Category, Process Mining, Tool Introduction /by SignavioHaben Sie das große Ganze im Blick? Die Diskussion rund um einen Prozess und seine Schnittstellen zwischen verschiedenen Abteilungen hat sich in den vergangenen Jahren verändert und eine neue Qualität erhalten. Unternehmen möchten nicht mehr erraten, wie die Abläufe organisiert sind. Stattdessen konzentrieren sie sich auf objektive Fakten wie Durchlaufzeiten, Prozessvarianten und deren Optimierung. Daten […]
Visual Question Answering with Keras – Part 1
/0 Comments/in Artificial Intelligence, Data Science, Data Science Hack, Deep Learning, Insights, Machine Learning, Main Category, Predictive Analytics, TensorFlow /by Akshay ChavanThis is Part I of II of the Article Series Visual Question Answering with Keras Making Computers Intelligent to answer from images If we look closer in the history of Artificial Intelligence (AI), the Deep Learning has gained more popularity in the recent years and has achieved the human-level performance in the tasks such as […]
The New Age of Big Data: Is It the Death of Hadoop?
/1 Comment/in Big Data, Main Category /by Edward HuskinBig Data had gone through several transformations through the years, growing into the phrase we identify it as today. From its first identified use on the back of Hadoop and MapReduce, a new age of Big Data has been ushered in with the spread of new technologies such as Kubernetes, Spark, and NoSQL databases. These […]
Whitepaper „Data-Management“: Wenn Daten auf Reisen gehen
/0 Comments/in Data Engineering, Data Warehousing, Insights, Sponsoring Partner Posts /by RedaktionDatenmanagement ist heutzutage ein komplexes Thema und schon lange nicht mehr nur die Aufgabe der Abteilung „EDV“. Unstrukturierte Daten von Sensoren, Maschinen und Anlagen haben einen langen Weg durch das Unternehmen, bevor sie Mehrwerte liefern. Innovative, digitale Kundenservices erfordern neue Infrastrukturen und Cloudanwendungen in der Umsetzung. Wie Sie mit Ihren Daten auf Reisen gehen, ohne […]