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

Explore how researchers at The Alan Turing Institute leverage Microsoft Azure cloud for enhanced data science research in this 46-minute talk by Dr Kenji Takeda from Microsoft. Gain insights into cloud computing fundamentals, available resources, and Azure's research applications. Discover hands-on labs covering deep learning for image recognition, natural language processing, speech recognition, R and Python machine learning app deployment, academic publication mining, and IoT data analysis. Learn about the ease of implementing AI and machine learning across various fields, including data science, engineering, environmental science, genomics, humanities, medicine, and social sciences. Delve into topics such as intelligent cloud, HPC, Machine Learning, Cognitive Toolkit, Big Data, IoT, and Open Science, with practical examples and tutorials demonstrating Azure's capabilities in accelerating and improving research outcomes.

Intro
Intelligent cloud
HPC
Machine Learning
Cognitive Toolkit
Big Data
IoT
Open Science