The 2nd Indian Workshop on Machine Learning (iWML) will organized by the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur (IITK), during July 1-3, 2016. This follows the inaugural edition of the workshop, held in 2013, which brought together several leading researchers and experts in machine learning and related areas from both the academia as well as the industry [link]. The second workshop seeks to further this effort and foster growth and excellence in the emerging machine learning community in India. We have significantly expanded the scope of the workshop, including talks and tutorials on modern and cutting edge topics such as reinforcement learning, non-convex optimization, deep learning, and contemporary applications of machine learning to medicine, social media, and vision. We hope attendees will benefit from the wide variety of topics being covered in the workshop, as well as the interaction with leading researchers.
Pulling together deep learning workshops for a large number of students, however, can be a time consuming, error prone, and costly exercise. Furthermore, technical issues with the environment setup and compatibility problems during the workshops impede learning and cause student dissatisfaction. These workshops typically have participants bring their laptops and have them download and install new software. However, with the wide range of laptop platforms (Windows, Mac, Linux), numerous configurations, and version conflicts with existing software, workshops can become frustrating both for presenters and attendees. The RAM and disk space available on laptops and their lack of GPUs affect the types of hands-on labs that can be offered, as deep learning workshops benefit heavily from specialized hardware such as GPUs.