Data Science Blog – Applied Data Science

Erstellen und benutzen einer Geodatenbank

June 24, 2019/0 Comments/in Uncategorized /by Christopher Kipp

In diesem Artikel soll es im Gegensatz zum vorherigen Artikel Alles über Geodaten weniger darum gehen, was man denn alles mit Geodaten machen kann, dafür aber mehr darum wie man dies anstellt. Es wird gezeigt, wie man aus dem öffentlich verfügbaren Datensatz des OpenStreetMap-Projekts eine Geodatenbank erstellt und einige Beispiele dafür gegeben, wie man diese […]

The Data Scientist Job and the Future

June 16, 2019/0 Comments/in Carrier, Data Science News, Education / Certification, Gerneral, Insights /by Michael Lyamm

A dramatic upswing of data science jobs facilitating the rise of data science professionals to encounter the supply-demand gap. By 2024, a shortage of 250,000 data scientists is predicted in the United States alone. Data scientists have emerged as one of the hottest careers in the data world today. With digitization on the rise, IoT […]

Interview: Profitiert Business Intelligence vom Data Warehouse in der Cloud?

June 14, 2019/0 Comments/in Insights, Interviews, Sponsoring Partner Posts, Tool Introduction /by Benjamin Aunkofer

Interview mit Ross Perez, Senior Director, Marketing EMEA bei Snowflake Read this Article in English: “Does Business Intelligence benefit from Cloud Data Warehousing?” Profitiert Business Intelligence vom Cloud Data Warehousing? Ross Perez ist Senior Director Marketing EMEA bei Snowflake. Er leitet das Snowflake-Marketingteam in EMEA und ist damit beauftragt, die Diskussion über Analysen, Daten und […]

Von der Datenanalyse zur Prozessverbesserung: So gelingt eine erfolgreiche Process-Mining-Initiative

June 6, 2019/0 Comments/in Data Engineering, Process Mining, Sponsoring Partner Posts, Tool Introduction, Use Cases /by Signavio

Den Prozessdaten auf der Spur: Systematische Datenanalyse kombiniert mit Prozessmanagement Die Digitalisierung verändert Organisationen aller Branchen. In zahlreichen Unternehmen werden alltägliche Betriebsabläufe softwarebasiert modelliert, automatisiert und optimiert. Damit hinterlässt fast jeder Prozess elektronische Spuren in den CRM-, ERP- oder anderen IT-Systemen einer Organisation. Process Mining gilt als effektive Methode, um diese Datenspuren zusammenzuführen und für […]

Data Leader Days: Die Spitzenmanager der Datenwirtschaft live und direkt

June 5, 2019/0 Comments/in Data Science News, Gerneral, Uncategorized /by events

Am 13./14. November 2019 finden in Berlin die fünften Data Leader Days statt. Kommen Sie direkt mit den Spitzenkräften der Datenwirtschaft in Kontakt und freuen Sie sich auf die besten Use-Cases, Live-Demos und Panels rund um Data und AI. Die Data Leader Days sind das erste Management-Forum für die Datenwirtschaft im deutschsprachigen Raum und senden […]

A Bird’s Eye View: How Machine Learning Can Help You Charge Your E-Scooters

June 4, 2019/0 Comments/in Artificial Intelligence, Big Data, Business Intelligence, Data Mining, Data Science, Data Science Hack, Insights, Machine Learning, Main Category, Python, Tools, Visualization /by Perry Johnson

Ever since I started using bike-sharing to get around in Seattle, I have become fascinated with geolocation data and the transportation sharing economy. When I saw this project leveraging the mobility data RESTful API from the Los Angeles Department of Transportation, I was eager to dive in and get my hands dirty building a data product […]

Closing the AI-skills gap with Upskilling

June 1, 2019/2 Comments/in Carrier, Gerneral /by Michael Lyamm

Closing the AI-skills gap with Upskilling Artificial Intelligent or as it is fancily referred as AI, has garnered huge popularity worldwide. And given the career prospects it has, it definitely should. Almost everyone interested in technology sector has them rushing towards it, especially young and motivated fresh computer science graduates. Compared to other IT-related jobs […]

Interview – Knowledge Graphs and Semantic Technologies

May 22, 2019/0 Comments/in Events, Insights, Interviews /by Editorial Staff

“It’s incredibly empowering when data that is clear and understood – what we call ‘beautiful data’ – is available to the data workforce.” Juan F. Sequeda is co-founder of Capsenta, a spin-off from his research, and Senior Director of Capsenta Labs. He is an expert on knowledge graphs, semantic web, semantic & graph data management and […]

Understanding Dropout and implementing it on MNIST dataset

May 20, 2019/0 Comments/in Data Science Hack, Python, TensorFlow, Tutorial /by Sarthak Babbar

Over-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?

May 13, 2019/0 Comments/in Big Data, Cloud, Data Engineering, Data Security, Data Warehousing, Database, Insights, Interviews, Sponsoring Partner Posts /by Benjamin Aunkofer

Interview 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 […]