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What is Portfolio Risk Management in Python?
/in Python/by Shannon FlynnData science is a crucial industry, with multiple processes today relying on it. One of its more helpful and intriguing applications is in investing, where it helps investors make more informed decisions. Practices like portfolio management in Python help take the guesswork out of this notoriously risky undertaking.
Vorstellung des Verbundforschungsprojekts “What can AI do for me?”
/in Artificial Intelligence, Insights, Main Category/by RedaktionDie wenigen Forschungsarbeiten stellen positive Auswirkungen, wie Produktoptimierung, Kosteneinsparung durch Optimierung des Ressourcenmanagements, Steigerung der allgemein Unternehmensperformance, etc. fest. Allerdings bleibt unerforscht welchen individuellen Beitrag spezifische Anwendungsfälle leisten. Dieses Wissen wird jedoch für strategische Entscheidungen bezüglich der Implementierung von AI benötigt, um beispielsweise den ROI von AI-Projekten schätzen zu können. Dazu soll die vorliegende Studie Einsicht bringen.
Kubernetes – der Steuermann für dein Big Data Projekt!
/in Data Engineering, Data Migration, Data Warehousing, Insights, Main Category, Software Development, Tool Introduction/by Niklas LangKubernetes ist ein Container-Orchestrierungssystem. Damit lassen sich also Anwendungen auf verschiedene Container aufteilen, wodurch sie effizient und ausfallsicher ausgeführt werden können.
Wie kann man sich zum/r Data Scientist ausbilden lassen?
/in Carrier, Certification / Training, Education / Certification, Gerneral, Sponsoring Partner Posts/by datascientestAnzeige Das allgegenwärtige Internet und die Digitalisierung haben heutzutage viele Veränderungen in den Geschäften überall auf der Welt mit sich gebracht. Aus diesem Grund wird Data Science immer wichtiger. In […]
How To Perform High-Quality Data Science Job Assessments in 4 Steps
/in Carrier, Gerneral, Jobs/by Arianna LupiIn 2009, Google Chief Economist Hal Varian said to the McKinsey Quarterly that “the sexy job in the next 10 years will be statisticians.” At the time, it was hard […]
How To Perform High-Quality Data Science Job Assessments in 4 Steps
/in Carrier, Gerneral, Insights/by Arianna LupiSo, you’ll want to choose your data scientists carefully, but how do you do that? Resumes and portfolios might seem impressive, but how do you actually find out if someone has the skills you’re looking for—especially if you don’t have anyone on board yet that knows what to ask.
10 Best Resources To Learn Data Science Online in 2022
/in Carrier, Certification / Training, Education / Certification, Gerneral/by Akash TripathiIncreasing technology and big data mean that organizations must leverage their data in order to deliver more powerful products and services to the world by analyzing that data and gaining insight, which is what the term “Data Science” means. You can jumpstart your career in Data Science by utilizing any of the resources listed above. Make sure you have the right resources and certifications. Now is the time to work in the data industry.
Mainframe Modernization: Making It Happen
/in Insights, Main Category/by Edward HuskinMainframe modernization is a major undertaking that presents a host of options for every organization. These options will vary depending on a number of factors, including business size, tenure, and industry. The following, however, are a few of the key considerations in modernization.
5 Best Practices for Performing Data Backup and Recovery
/in Datacenter, Main Category/by Shannon FlynnData backup and recovery are critical for any organization in the digital age. The field of data science has developed advanced, secure, user-friendly backup and recovery technology over recent years. For anyone new to data backup and recovery, it can be challenging knowing where to start, especially when dealing with large quantities of data. There are some best practices in data backup and recovery that are beneficial for any user or organization. These tips will provide a jumping-off point for creating a customized data protection strategy.
process.science presents a new release
/in Business Analytics, Business Intelligence, Main Category, Process Mining, Sponsoring Partner Posts, Tools/by Editorial Staffprocess.science, specialist in the development of process mining plugins for BI systems, presents its upgraded version of their product ps4pbi. Process.science has added the following improvements to their plug-in for Microsoft Power BI. Identcal upgrades will soon also be released for ps4qlk, the corresponding plug-in for Qlik Sense.