Looking forward to run an ask-the-expert seminar on "Time Series #Forecasting" together with Spiros Potamitis
https://t.co/3R80WhJuKT
will feature basic forecasting with SAS procedures (ESM, ARIMA, TIMESERIES)+ #timeseries#dataquality topics+automatic forecasting using #sasviya
Data completeness, correctness, quantity, usability, availability: is your data ready for data science? Read the article by @GSvolba to discover more. #DataScience https://t.co/wFMt4bzOAl
Watch the video by @GSvolba to learn how important it is to understand the process the collects your #data in order to be able to judge about data quality in an adequate way. https://t.co/cR3s0qFj57
Invest now in your data science skills, and help solve the problems of the moment and the future with @GSvolba collection of demos, tips and tricks. https://t.co/5Xej6mpNoO #analytics#AI#machinelearning
Ich freue mich schon darauf, nächste Woche, 8. 9 den SAS Club zu moderieren. Tolle Vortragende.
"Erstellen einer benutzerdefinierten Funktionsprozedur mit PROC FCMP in SAS zur Berechnung des multilateralen Verbraucherpreisindex"
#sasviya#datascience
https://t.co/ouLacGrcWT
We are hiring for a student position #machinelarning#artificialintelligence#datascience for our office in Vienna.
You find more details here:
https://t.co/g4ENTnPahs
if you have any questions, please ping me directly.
Can events and changes in the course of time be automatically detected over time? This case study by @GSvolba shows how analytical methods can be used to automatically detect changes and outliers in longitudinal data. https://t.co/OXvF8HZJLG #data#analytics
Is it sufficient to monitor the quality of your #forecast models over time? Can #DataScience methods identify the drivers for large forecast errors and provide more insights than descriptive statistics? Watch this demo by @GSvolba to discover more. https://t.co/wtoOVb5iTW
Are you interested in learning how analytical methods allow to quantify the deviation between the assumed and the actual distribution? In the video demo by @GSvolba, you will experience how #analytics helps you to move from "noise" to manageable segments. https://t.co/WEm1lrLH99
Listen to your data! 📊 Learn with @GSvolba how unsupervised #machinelearning methods like association analysis and variable clustering are used generate rules and uncover relationships between the features of your analysis subjects. https://t.co/fT4TFx2StX
We (SAS) are hiring!
--> Sr Pre-Sales Solutions Architect (M/F/Div) - Public Industry
Are you interesting in:
- Being a trusted advisor to SAS Customers, Prospects and Partners in the area of digital transformation, data and AI
https://t.co/ZufvvWu8Rn
In the era of the Great Resignation, can #data help us to retain our employees? Watch this use case by @GSvolba on performing headcount survival analysis for employee retention. https://t.co/WQqZJ5lmhI