Amazon’s SageMaker Object2Vec, a highly customizable algorithm that can learn embeddings of various types high-dimensional objects.
Link: https://aws.amazon.com/ru/blogs/machine-learning/introduction-to-amazon-sagemaker-object2vec/
#Object2Vec #Amazon #Embeddings
Link: https://aws.amazon.com/ru/blogs/machine-learning/introduction-to-amazon-sagemaker-object2vec/
#Object2Vec #Amazon #Embeddings
🎓Amazon have released its Free Machine Learning #course.
Course consits of 30+ digital ML classes totaling 45+ hours, aiming for improving skills of different roles: from Data Platform Engineer to Business Decision Maker.
Link: https://aws.amazon.com/ru/training/learning-paths/machine-learning/
#Amazon #ML #MOOC
Course consits of 30+ digital ML classes totaling 45+ hours, aiming for improving skills of different roles: from Data Platform Engineer to Business Decision Maker.
Link: https://aws.amazon.com/ru/training/learning-paths/machine-learning/
#Amazon #ML #MOOC
Amazon
Artificial Intelligence
Whether you’re new to artificial intelligence (AI), or an experienced builder, develop your knowledge and skills with training curated by the experts at AWS.
Dynamic Transfer Learning for Named Entity Recognition
Paper with direct healthcare application by #Amazon interesting proposal to use Dynamic Transfer Network for architecture search
Link: https://arxiv.org/pdf/1812.05288.pdf
#healthcare #NLP
Paper with direct healthcare application by #Amazon interesting proposal to use Dynamic Transfer Network for architecture search
Link: https://arxiv.org/pdf/1812.05288.pdf
#healthcare #NLP
Racial Disparities in Automated Speech Recognition
To no surprise, speech recognition tools have #bias due to the lack of diversity in the datasets. Group of explorers addressed that issue and provided their’s research results as a paper and #reproducible research repo.
Project link: https://fairspeech.stanford.edu
Paper: https://www.pnas.org/cgi/doi/10.1073/pnas.1915768117
Github: https://github.com/stanford-policylab/asr-disparities
#speechrecognition #voice #audiolearning #dl #microsoft #google #apple #ibm #amazon
To no surprise, speech recognition tools have #bias due to the lack of diversity in the datasets. Group of explorers addressed that issue and provided their’s research results as a paper and #reproducible research repo.
Project link: https://fairspeech.stanford.edu
Paper: https://www.pnas.org/cgi/doi/10.1073/pnas.1915768117
Github: https://github.com/stanford-policylab/asr-disparities
#speechrecognition #voice #audiolearning #dl #microsoft #google #apple #ibm #amazon