Image Classification using Support Vector Machines.
Submitted by Swapnil Dubey (@swapnildubey) on Monday, 13 November 2017
Section: Full talk Technical level: Beginner
In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.In this talk we will be looking at the basic fundamentals and implementation of SVM for image classification.
Basics of Support Vector Machine.
Swapnil is right now contributing to Schlumberger Data Science team applying analytics in field of Oil and Natural Gas.Prior to this he was part of Snapdeal Realtime Analytics team as Lead Enginner. Swapnil in the past has worked as Cloudera Trainer.He belives in learning and sharing his learning across the community.A frequent speaker in meetups and active presenter in conferences.
With more than 8+ years of experience, Swapnil has contributed in Domains of BFSI,Ad Serving and eCommerce with Hadoop,Spark and GCP as primary tech stack.
Past conferences & Meetups:
https://expert-talks.in/ https://fifthelephant.talkfunnel.com/pune-meetup-2017/3-time-processing-and-watermarks-using-google-pub-su http://www.bigdatainnovation.org/delhi/2015/India_Bigdata_Week/speakers Dr Dobbs conference-Bangalore- April 11-12,2014
Ekansh Verma is right now working with Schlumberger Data Scince team as Data scientist.He has done his Bachelors, Biomedical Engineering from IIT Chennai.He has good understanding of Deep Learning concepts. His primary expertise lies in Image classfication.