2018
In 2016, I wrote about why data science is a huge opportunity for India and how India can aspire to be a leader in data science services. That led me to start ml-india.org – a platform to get India’s machine learning community under one roof to connect and multiply their success. Today, we have enabled 27 machine learning meetups, featured 55 companies, 11 research groups, 146 machine learning professionals and we run a mailing list of 1806 people.
The Association for the Advancement of Artificial Intelligence is an annual conference on promote research in Artificial Intelligence. AAAI incorporates a diverse technical track, student abstracts, poster sessions, tutorials, workshops and competition programs.
2017
Dr. Niraj Kumar is a senior machine learning scientist at Phenom People, India. He completed his Ph.D. in computer science from the IIIT Hyderabad, and did his MCA in computer science from IGNOU, Delhi.
ML-India is pleased to inform that the tenth machine learning meetup in its Gurgaon chapter was held on 14th May 2017. In this meetup, they had two guest speakers, Dr. Navdeep and Dr. Siju, both of them are pursuing their PhD at AIIMS.Their current work is at the intersection of medicine and machine learning to solve problems in Cognitive Neuroscience.
ML-India is pleased to inform that the eleventh machine learning meetup in its Bangalore chapter was held on 9th April 2017. The meetup revolved around discussion about Cyber Security & Productionizing ML Models
Dr. Preethi Jyothi is an assistant professor at Indian Institute of Technology-Bombay (IIT-B), India. She completed her Ph.D. in speech recognition from the CSE department of Ohio State University, and did her B.Tech in computer science from NIT Calicut. She was a Beckman Postdoctoral Fellow at the University of Illinois at Urbana-Champaign. Her research interests are broadly in the areas of automatic speech recognition and machine learning as applied to speech.
ML-India is pleased to inform that the third machine learning meetup in its Mumbai chapter was held on 9th April 2017. The meetup involved a hands-on tutorial on sentiment analysis of tweets.
ML-India is pleased to inform that the tenth machine learning meetup in its Bangalore chapter was held on 25th March 2017. The meetup revolved arounddiscussion about the contributions to 'ogdindiar', a package that helps in searching an downloading datasets from data.gov.in, and also had a workshop on Introduction to ML.
Dr. Minta is an assistant Professor and Head of Analytics, Aegis School of Business, Data Science and Telecommunication. She completed her PhD in Engineering (Informatics) from University of Leuven – KU Leuven, Belgium and her M. Phil. in Bioinformatics from Kerala University. Her areas of expertise are Perl, Bioperl, Matlab, R, Machine Learning, Cancer Informatics, Data mining, Bioinformatics and Computational Biology. She is an expert in developing algorithms for processing large scale data sets such as genomics, microarray and mass spectrometry images etc. She is also proficient in signal processing and dimensionality reduction methods and is also working in Information Retrieval and Pattern Recognition domain.
ML-India is pleased to inform that the ninth machine learning meetup in its Gurgaon chapter was held on 26th March 2017. This time around, they decided to organize a hands-on tutorial on sentiment analysis of tweets. They analysed what Twitterati feels about our political leaders like Arvind Kejriwal and Narendra Modi. The idea was to get people started with a basic problem in data science.
The International Conference on Computer Vision and Pattern Recognition is an annual conference on computer vision and pattern recognition. CVPR is the number one venue in Computer Vision and number seven in Engineering and Computer Science. It also has the highest h-index of any conference in any field, is the leading IEEE publications including journals, and it is ranked in the top 70 of all publications.
Dr. Tavpritesh is a physician-scientist working at the interface of data science and medicine. He received his M.B.B.S from Government Medical College, Amritsar and PhD from CSIR-Institute of Genomics and Integrative Biology, Delhi. His core expertise is in translating physiological and clinical insights into machine learning models and data-science pipelines. He has received MIT-India TR35 Young Innovator Award for developing an exquisitely sensitive marker for early airway disease and Wellcome Trust/DBT India Alliance Early Career Award for his current focus on forecasting critical outcomes in Pediatric Intensive Care Units. He has a strong clinical base at All India Institute of Medical Sciences, New Delhi and has joined IIITD with a long term vision of co-creating next generation medicine through interfacing of core clinical, biological and computational disciplines.
ML-India is pleased to inform that the second machine learning meetup in its Mumbai chapter was held on 4th March 2017. The meetup involved an introduction to natural language processing, and discussion on concepts like tokenization, stemming, parts-of-speech tagging.
ML-India is pleased to inform that the ninth machine learning meetup in its Bangalore chapter was held on 18th February 2017. The members discussed entity search systems and the challenges that arise from query format diversity as well as imperfect information sources. She advocated joint query interpretation and answer ranking, instead of performing these two tasks independently.
ML-India is pleased to inform that the eighth machine learning meetup in its Gurgaon chapter was held on 5th February 2017. The members discussed how people with ML, data and math skills, and no finance domain knowledge can use the modeling techniques in their field to write successful trading strategies.
ML-India is pleased to inform that the first machine learning meetup in its Gurgaon chapter was held on 4th February 2017. The meetup involved an introduction to the machine learning, and discussion on the Twitter classification paper and gradient boosted decision tree.
ML-India is pleased to inform that the eighth machine learning meetup in its Bangalore chapter was held on 28th January 2017. The members discussed how people with ML, data and math skills, and no finance domain knowledge can use the modeling techniques in their field to write successful trading strategies.
Ankit is a PhD Student at Computer Science and Engineering department of IIT Delhi. He is advised by Dr. Parag Singla and Dr. Mausam. His primary research interests are Artificial Intelligence Planning, Reinforcement Learning and Probabilistic Graphical Models. In the past, he has worked in the area of Cloud Systems with Dr. J.Lakshmi and Prof S.K. Nandy during his M.Tech at Department of Computational and Data Sciences(Formerly part of Super-computer Education and Research Centre), Indian Institute of Science, Bangalore. He did his Bachelors from Punjab Engineering College (PEC), Chandigarh.
ML-India is pleased to inform that the seventh machine learning meetup in its Gurgaon chapter was held on 15th January 2017. The members discussed the traditional methods for vectorization and the motivation of word vector representations and the central concept of word2vec and their implementation via convolutional neural networks.
We summarize ML-India's new initiatives and activities during 2016.
2016
ML-India is pleased to inform that the sixth machine learning meetup in its Gurgaon chapter was held on 18th December 2016. The members discussed about the learnings and the doubts that they had from Week 2 of CS231, a computer vision and deep learning course offered by Stanford.
The Conference and Workshop on Neural Information Processing Systems (NIPS) is a machine learning and computational neuroscience conference held every December. The conference is a single track meeting that includes invited talks as well as oral and poster presentations of refereed papers, followed by parallel-track workshops that up to 2013 were held at ski resorts. According to Microsoft Academic Search, NIPS is the top conference on machine learning.
Nitin is an assistant professor at IIT Kanpur. He graduated from IIT Kanpur in 2004 with a B.Tech. in computer science and an interest in biology. He then joined the Ph.D program in bioinformatics and systems biology at the University of California, San Diego (UCSD). After completing his PhD in 2009, he spent a few months in a cognitive neuroscience lab at UCSD, and then moved to the National Institutes of Health as a post-doc to learn electrophysiology. He specializes in systems neuroscience, olfaction, computational biology. His research interest lies in understanding the fundamental mechanisms used by neural circuits for processing information.
The Grace Hopper Celebration is the world's largest technical conference for women in computing. The Grace Hopper Celebration, named after computer scientist Grace Hopper, is organized by the Anita Borg Institute for Women and Technology and the Association for Computing Machinery. It is designed to bring together women to discuss research and career interests in the field of Computer Science.
ML-India is pleased to inform that the fifth machine learning meetup in its Gurgaon chapter was on 27th November 2016. The members discussed about a kaggle knowledge dataset and how to divide small groups to work on different Kaggle competitions.
Priya is a PhD student in Computer Science and Engineering at IIIT Hyderabad. Her research area is Semantic Search. She is associated with the Search and Information Extraction Lab under Prof. Vasudeva Varma. She was a telecom engineer for 10 years at Alcatel Lucent. During her tenure there, she worked as technical specialist handling roles involving software development, testing, development support and coordination.
ML-India is pleased to inform that the fourth machine learning meetup in its Gurgaon chapter was on 13th November 2016. The members discussed about a kaggle knowledge dataset and how to divide small groups to work on different Kaggle competitions.
ML-India is pleased to inform that the seventh machine learning meetup in its Bangalore chapter was on 22nd October. The meetup revolved around the application of machine learning algorithms to map a person's skills to relevant jobs.
Shivaram is an Assistant Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Bombay. He specialises in artificial intelligence. His areas of interest are sequential decision making, multiagent learning, multi-armed bandits, and humanoid robotics. Application domains of his research include robot soccer, computer games, and online advertising.
ML-India is pleased to inform that the sixth machine learning meetup in its Bangalore chapter was on 8th October. The meetup revolved around the introduction of Deeplearning4j stack and its applications.
Dr. Mayank Vatsa is an associate professor at Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi), India. He received the M.S. and Ph.D. degrees in computer science from West Virginia University, Morgantown, WV, USA, in 2005 and 2008, respectively. He has authored more than 200 publications in refereed journals, book chapters, and conferences. His research has been funded by the Unique Identification Authority of India and DIT. He was a recipient of the FAST Award Project by DST, India. His areas of interest are biometrics, image processing, machine learning, and information fusion.
The Conference and Workshop on Neural Information Processing Systems (NIPS) is a machine learning and computational neuroscience conference held every December. The conference is a single track meeting that includes invited talks as well as oral and poster presentations of refereed papers, followed by parallel-track workshops that up to 2013 were held at ski resorts. According to Microsoft Academic Search, NIPS is the top conference on machine learning.
Data science is becoming important in determining business success. But there aren’t enough tools to test data scientists. A good data scientist needs to be proficient in computer programming, applied statistics and database management skills.
ML-India is pleased to inform that the fifth machine learning meetup in its Bangalore chapter was on 28th Aug. The discussion revolved around how NLP has evolved over past few years and different kinds of word representations.
ML-India is pleased to inform that the third machine learning meetup in its Gurgaon chapter was on 21st August 2016. The discussion revolved around breaking down the problem into parts and then approaching it. They also talked about how one should work through the process of collecting the data to implementing it and then testing different models.
Data science is becoming important in determining business success. But there aren’t enough tools to test data scientists. A good data scientist needs to be proficient in computer programming, applied statistics and database management skills.
The International Conference on Computer Vision and Pattern Recognition is an annual conference on computer vision and pattern recognition. CVPR is the number one venue in Computer Vision and number seven in Engineering and Computer Science. It also has the highest h-index of any conference in any field, is the leading IEEE publications including journals, and it is ranked in the top 70 of all publications.
Tanmoy Chakraborty is a postdoctoral researcher at University of Maryland Institute for Advanced Computer Studies. He obtained his PhD in the area of data mining and social network analysis from Indian Institute of Technology, Kharagpur (IIT-Kgp). His research interests are in the broad areas of data mining, complex networks, social media, natural language processing, cybersecurity and machine learning.
International Conference on Knowledge Discovery and Data Mining is a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data to showcase their research in these areas.
ML-India is pleased to inform that the second machine learning meetup in its Gurgaon chapter was on 25th June. The discussion revolved around contextual modelling in conversation bots, task based search, non-parametric Bayesian models and a small talk on deep learning.
Dr. Vasudeva Varma is a professor and the Dean (Research & Development) at IIIT Hyderabad, India. He obtained his PhD from the Department of Computer and Information Sciences, University of Hyderabad in 1996. His research interests are in the broad areas of Information Retrieval, Extraction and Access. More specifically: social media analysis, cross language information access, summarization and semantic search.
ML-India is pleased to inform that the fourth machine learning meetup in its Bangalore chapter was on 28th May. The discussion revolved around basics of Deep Learning, CNNs, RNNs and Multimodal Deep Learning.
ML-India is pleased to inform that the Gurgaon chapter held its first meetup last Saturday (14 May). The meetup involved introduction to the machine learning pipeline and a practical hands-on session on data interpretation and analysis. It was followed by simple model building using Linear-Regression.
ML-India is pleased to inform that the third machine learning meetup in its Bangalore chapter was held last Saturday (30th April). The meetup involved discussion on the significance of the role of a data scientist and as well as a workshop on Neural Networks.
ML-India is pleased to inform that the fourth machine learning meetup in its Bangalore chapter was on 28th May. The discussion revolved around basics of Deep Learning, CNNs, RNNs and Multimodal Deep Learning.
Prof. Mausam is an associate professor at the Dept. of Computer Science in IIT-Delhi and an affiliate faculty at the University of Washington. He got his undergraduate degree from IIT-Delhi in Computer Science in 2001 and completed his PhD. work titled Stochastic Planning with Concurrent, Durative Actions from the University of Washington in 2007.
We interviewed Mr. Avisek Lahiri, who is a doctoral student at IIT Kharagpur. He joined IIT Kharagpur in 2013 as a master's student in computer vision lab. After having worked in the field of computer vision, machine learning caught his attention and he joined the same department as a PhD student. He is a recipient of many awards and accolades like the Google India PhD Fellowship, Viterbi India internship, ACM India sponsorship and a research fellowship from ISRO, among others.
ML-India is pleased to inform that the second machine learning meetup in its Bangalore chapter was held last Saturday (2nd April). The meetup involved discussion on Borde and Kwik algorithms as well as Kaggle problems.
We interviewed Prof. Parag Singla who is an assistant professor in the Dept. of Computer Science in IIT-Delhi. He did his undergraduate studies from IIT-Bombay in Computer Science and completed his PhD. in Markov Logic: Theory, Algorithms and Applications from the University of Washington. Parag has been working in the field of AI and ML.
We are pleased to announce that as an initiative of ML-India, we have started it's Bangalore chapter. The aim is to hold frequent meetups where machine learning enthusiasts can meet and discuss the latest in the field. A big shout out to Sritualsi Edpugnati who is leading this initiative in Bangalore.
We interviewed today Prof. Partha Pratim Talukdar. He is an assistant professor, Dept. of Computational and Data Sciences and Dept. of Computer Science and Automation in IISc. He did his undergraduate from BITS-Pilani in Computer Science and completed his PhD. in Graph-based Weakly-Supervised Methods for Information Extraction & Integration from UPenn. Partha has been working in the field of ML, NLP and Big Data.
We interviewed today Dr. Manish Gupta. He is Vice President at Xerox Corporation and Director of Xerox Research Centre in India. Previously, Manish has served as Managing Director, Technology Division at Goldman Sachs India, and has held various leadership positions with IBM, including that of Director, IBM Research - India. Manish holds a Ph.D. in Computer Science from the University of Illinois at Urbana Champaign and is a distinguished IIT-Delhi alumnus.
2015
A series of inforgraphic about India's performance in top machine learning conferences in 2015
An essay on the growth of machine learning and what does it mean for India
2014
