This presentation covers a high level overview of integrating machine learning into your PHP web application. A general explanation of integrating different services as well as a walkthrough of integrating a trained and deployed model on Google Cloud Platform's ML Engine followed by caveats and nuances as well as factors to keep in mind when working with Machine Learning services.
WHO SHOULD ATTEND?
PHP developers who want to use, write or learn about machine learning services.
Varshith Anilkumar is a passionate Software Engineer with over two years academic and industry experience in Software Development, Machine Learning, VR/AR Development and Computer Vision with an emphasis on scalability, reliability and fault tolerance.
He previously worked with startups to build scalable machine learning prototypes such as a recommendation engine to provide custom restaurant recommendations and is currently working at Wayfair building scalable services for Catalog Creation systems.
Varshith is passionate about neurotechnology and VR apps using AI
Follow Varshith on LinkedIn:
6:00 pm - 7:00 pm -- Pizza, refreshments and networking
6:30 pm - 7:00 pm -- (Your talk here???? Contact us!)
7:00 pm - 7:15 pm -- Introductions
7:15 pm - < 9:00 pm -- Feature Presentation, Q&A, Wrap-Up
HOST / FOOD SPONSOR
Wayfair Tech has graciously offered meeting space, pizza and refreshments. Thank them by checking out some of these links to learn a bit about Wayfair:
Wayfair Tech Blog: https://tech.wayfair.com/
Working at Wayfair: https://youtu.be/e_EzwfOXWY8
Career Opportunities: http://www.wayfaircareers.com
About Wayfair: https://www.wayfair.com/about/
Public transportation is recommended: Orange line to Back Bay Station or Green line to Copley Station.
If you must drive and park, here are parking options:
The Wayfair office is located at 4 Copley Place, above the Copley Place Mall:
Copley Place is across the footbridge from the Prudential Mall or across the street from Back Bay station.