Building Machine Learning Pipelines with PredictionIO
Speaker: Manpreet Ghotra, Rajdeep Dua, Salesforce India
Date: 14th October 2017
Time: 03:45 PM to 06:30 PM
Venue: Workshop Room 1
Fee: Rs. 1750/-
* Objective of the workshop
Help developers understand how Apache prediction IO library can be used to quickly build ML pipelines
* Who can attend this workshop?
Developers starting on Machine Learning
* What all will be covered in the workshop?
We will do a hands-on workshop on how to use PredictionIO to build big data pipelines
* Benefits/Takeaways for the attendees
Get started on Prediction IO
* Pre-requisites to attend the workshop
Some familiarity with Machine Learning
Rajdeep Dua has over 18 years of experience in the Cloud and Big Data space. He worked in the advocacy team for Google’s big data tools, BigQuery. He worked on the Greenplum big data platform at VMware in the developer evangelist team. He also worked closely with a team on porting Spark to run on VMware’s public and private cloud as a feature set. He has taught Spark and Big Data at some of the most prestigious tech schools in India: IIIT Hyderabad, ISB, IIIT Delhi, and College of Engineering Pune.
Currently, he leads the developer relations team at Salesforce India. He also works with the data pipeline team at Salesforce, which uses Hadoop and Spark to expose big data processing tools for developers.
He has published Big Data and Spark tutorials. He has also presented BigQuery and Google App Engine at the W3C conference in Hyderabad. He led the developer relations teams at Google, VMware, and Microsoft, and he has spoken at hundreds of other conferences on the cloud. Some of the other references to his work can be seen at YourStory and on ACM digital library.
His contributions to the open source community are related to Docker, Kubernetes, Android, OpenStack, and cloudfoundry. You can connect with him on LinkedIn.
Manpreet Singh Ghotra has more than 14 years of experience in software development for both enterprise and big data software. He is currently working on developing a machine learning platform using opensource machine learning libraries like Prediction IO, Tensorflow, Spark ML at Salesforce. He has worked on an Anomaly Detection, Spam Detection, Sentiment analyzer, and many more AI projects.
He was part of the machine learning group at one of the largest online retailers in the world, working on transit time calculations using Apache Mahout and the R Recommendation system using Apache Mahout.
With a master’s and a postgraduate degree in machine learning, he has contributed to and worked for the machine learning community.
You can find his work on GitHub profile and also you can connect with him on LinkedIn.