MLT Co-Director Alisher Abdulkhaev shares his Papers with Annotations. This project compiles multiple (AI related) papers with illustrations, annotations, and brief explanations of technical keywords, terms and previous studies which makes it easy to read the paper and follow the main idea. Object detection papers with annotationsAI and Cognitive Science related papers with annotations Please … Continue reading PAPERS WITH ANNOTATIONS
MLT is excited to support and be part of the CTDS Kaggle competition organized by Sanyam Bhutani, Chai Time Data Science | CTDS.Show. The Chai Time Data Science Show is a podcast, video and blog based show for interviews with ML Practitioners, Kagglers, Research Scientists and all things Data Science. It's a continuation of the … Continue reading CTDS KAGGLE COMPETITION LAUNCH
Probability Distributions, Probability and Stats, Bayesian Inference
Free annotation tools for Deep Learning, Computer Vision and Natural Language Processing tasks.
Applications of Machine Learning methods have significantly contributed to the development of biomedical research and drug discovery. In this talk Nazim Medzhidov and Romeo Cozac focus on 1) understanding the types of biological/chemical data available and challenges in biomedical research, 2) providing examples on how ML approaches using biological/chemical data are used to address complex … Continue reading MACHINE LEARNING IN LIFE SCIENCE RESEARCH & DRUG DISCOVERY
AI, Machine Learning and Deep Learning this month, at a glance.