Accelerating Research with Microsoft Azure - Dr. Kenji Takeda, Microsoft

This course aims to teach learners how to accelerate research using Microsoft Azure. The learning outcomes include understanding cloud computing, exploring Azure's capabilities for research, and gaining hands-on experience with deep learning, natural language processing, speech recognition, machine learning app deployment, academic publication mining, and IoT data analysis. The course covers topics such as intelligent cloud, HPC, machine learning, Cognitive Toolkit, big data, IoT, and open science. The teaching method includes hands-on labs, concrete examples, and tutorials. The intended audience for this course includes researchers and individuals interested in utilizing cloud computing for data science research.