All events will be held online. It is worth noting that all times in the program are quoted in British Summer Time (BST ; = UTC+1).
You can register here. As we are running multiple streams, we have had to break down the registration process to a day-by-day and session-by-session registration process.
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?
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 ).
This talk would revolve around -
1) Why do we need to fuse Big Data with Machine Learning ?
2) How Spark’s architecture will help us boost our preparations for faster ML ?
3) How pyspark’s MLlib ( Machine Learning library ) helps you do ML so seamlessly ?