Medical AI Insights | Datanalytics101
A Research Hub for AI in Medicine
Research internships provide intensive exposure to reach academia. They may play a crucial role in making the tough decision of whether or not to pursue a career in research, particularly pursuing a Ph.D. degree. Looking back, I realize that my first internship at IIT Kharagpur for my Bachelor’s played a significant role. The selection process … Read more
The ACM India Joint International Conference on Data Science & Management of Data (CODS-COMAD 2020), which combined the 7th ACM IKDD CoDS and the 25th COMAD conferences, was held from January 5 to 7, 2020 at the prestigious Indian School of Business (ISB), Hyderabad, India. This event brought together leading researchers, practitioners, and students from … Read more
Article summary Here, we first mention the upcoming conference submission deadlines. You can get the complete list of conference deadlines throughout the year in my another blogpost. We outline all the news update regarding research competitions and NLP resources I can across in the month of August 2019 Upcoming Conference Deadlines Please note that the … Read more
Attending and presenting your work at a conference is one of the major highlights of the journey to becoming an independent researcher. Be it a national or an international venue, conferences allow you to present your work before a large audience. The journey from a research project idea to paper acceptance and finally oral or … Read more
In this article, I will cover the details and structure of the 1st edition of the Smart India Hackathon (SIH) in the year, 2017. I will also share my personal experience being part of a team and performing in the onsite regionals at Sri Krishna Engineering College, Coimbatore, India. I was a member of the … Read more
Datasets form the basis of the domain of Artificial Intelligence and Machine learning. Over the last few years, model-centric AI has shifted from model-centric to data-centric AI. Supervised learning depends heavily on labeled data (i.e., features with ground-truth labels), where a mapping function is learned between the features and labels. In unsupervised learning, we depend … Read more
This article covers the five technologies required for building an end-to-end data science, artificial intelligence, or machine learning project from scratch. They are defining a problem statement, identifying the competing solutions, conducting a literature survey, identifying research gaps with possible Proof-of-concept, and finally, the practical utility of the solution. Welcome. I hope you are now … Read more
Photo credit: danielfoster437 Library Books via photopin (license) Regarding post-graduate coursework offered in IITs, I have compiled a list of books that are usually referred to: Advanced Algorithms Social Computing : Machine Learning Deep Learning Natural Language Processing Information Retrieval Final thoughts on machine learning and data science books We thus learned about the most … Read more
While writing an academic paper in Latex, you will definitely need to learn to use references for linking different sections of your paper like subsections, tables, or figures, or for citing an external resource like a paper, website, or codebase. In Latex, there are broadly three types of references: bibliographic citations, cross-references, and keyword shortcuts. … Read more
