Move beyond spreadsheets to data mining, forecasting, optimization – and more
This blog focuses on using SASPy for modeling and machine learning.
Data scientists naturally use a lot of machine learning algorithms, which work well for detecting patterns, automating simple tasks, generalizing responses and other data heavy tasks. As a subfield of computer science, machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Over time, machine learning has borrowed from many
Gespräch mit Helmut Linde von Merck über seine Meetup-Ambitionen. Helmut ist ein begehrter Gastredner in der Data Science Szene Rhein-Main.
