5 Keys to Build Machine Learning and Visualization Into Your Application
Machine learning has unlocked new possibilities that deliver significant business value. However most companies don’t have the resources to either build and maintain the supporting infrastructure or apply data science to build a smarter solution.
Join us for this webinar and hear from John Huang, engineering and data analytics lead at Handshake, as he shares how he quickly and cost effectively scaled a small engineering team to build a machine-learning powered recommendation engine that profiles users and behaviors to present relevant next steps. In this webinar you will learn how to:
Simplify and accelerate data engineering processes including data ingest and ETL
Incorporate machine learning into your production application without an army of data scientists
Choose an analytics engine that will enable key analytics such as attribution, step analysis, and linear regression
Embed visualizations into your application that drive stickiness
See how the latest trend of incorporating data and analytics into your development can make your applications more powerful and compelling in this webinar.
John Huang Engineering and Data Analytics Lead at Handshake