Machine Learning, Deep Learning and Big Data
Data can be a valuable asset, especially when there’s a lot of it.
Exploratory data analysis, business intelligence,
and machine learning can benefit tremendously if such big data
can be wrangled and modelled at scale.
Apache Spark is an open-source distributed engine for
querying, processing and modeling big data.
In this one-day workshop, you will learn how to leverage
Spark and R/Python to process and model big data with
common machine learning algorithm. By the end of this workshop,
you will have a solid understanding of how to process big data using
Spark and how to build common machine learning models in the cloud environment.
You will also learn the motivation and use cases of deep learning through
hands-on exercises.
This workshop is designed for audience with statistics education background.
This course bridges the gap between traditional statisticians and data scientists.
No software download or installation is needed, everything is done through
laptop’s internet browser (Chrome or Firefox) with Databricks free cloud environment.