Ready to watch?

To access this and all other video sessions from our past events create your FREE account today!

Already have an account? Login
Ayon Roy - a few seconds ago
PySpark - Combining Machine Learning & Big Data
With the ever increasing flow of data, comes the industry focus on how to use those data for driving business & insights; but what about the size of the data these days, we have to deal with ? The more cleaner data you have, its good for training your ML ( Machine Learning ) models, but sadly neither the world feeds you clean data nor the huge amount of data is capable of fast processing using common libraries like Pandas etc. How about using the potential of big data libraries with support in Python to deal with this huge amount of data for deriving business insights using ML techniques? But how can we amalgamate the two? Here comes “ **PySpark : Combining Machine Learning & Big Data** “. Usually people in the ML domain prefer using Python; so combining the potential of Big Data technologies like Spark etc to supplement ML is a matter of ease with pyspark ( A Python package to use the Spark’s capabilities ).
Featured jobs
supervisor_account Bosch-Gruppe Österreich
room Vienna, Austria
stars Senior
euro_symbol 65-70K
translate English
Embedded C
supervisor_account NETCONOMY
room Vienna, Austria
room +1
stars Intermediate
euro_symbol 50-60K
translate English
supervisor_account Threedy GmbH - instant3Dhub
room Darmstadt, Germany
stars Intermediate
euro_symbol 50-75K
translate English
Agile Methodologies