Personal Information
Organização/Local de trabalho
REDMOND, WA United States
Cargo
Principal Data Scientist Manager | Innovator | Strategist
Setor
Technology / Software / Internet
Sobre
Wee Hyong Tok is a Principal Data Science manager at Microsoft, and leads a multi-disciplinary team of data scientists and engineers, as part of the Cloud AI group.
Through working with engineering team spanning US and China, he has built deep experiences as a product manager with a proven track record of shipping multiple releases of products and services (SQL Server Integration Services (SSIS), Azure Data Factory and more). He has a keen acumen towards how customers can build successful products using ML/AI, and extensive experience in building up a product plan from scratch/incubation to shipping.
Using his Data and AI experiences spanning industry and academia, he spent the las...
Marcadores
deep learning
ai
machine learning
data science
azure
distributed deep learning
transfer learning
cnn
pytorch
azure machine learning
spark
databricks
best practices
computer vision
nlp
theaiconf
gpu
k8s
kubernetes
tensorflow
cntk
big data
image classification
convolution neural networks
Ver mais
Apresentações
(6)Personal Information
Organização/Local de trabalho
REDMOND, WA United States
Cargo
Principal Data Scientist Manager | Innovator | Strategist
Setor
Technology / Software / Internet
Sobre
Wee Hyong Tok is a Principal Data Science manager at Microsoft, and leads a multi-disciplinary team of data scientists and engineers, as part of the Cloud AI group.
Through working with engineering team spanning US and China, he has built deep experiences as a product manager with a proven track record of shipping multiple releases of products and services (SQL Server Integration Services (SSIS), Azure Data Factory and more). He has a keen acumen towards how customers can build successful products using ML/AI, and extensive experience in building up a product plan from scratch/incubation to shipping.
Using his Data and AI experiences spanning industry and academia, he spent the las...
Marcadores
deep learning
ai
machine learning
data science
azure
distributed deep learning
transfer learning
cnn
pytorch
azure machine learning
spark
databricks
best practices
computer vision
nlp
theaiconf
gpu
k8s
kubernetes
tensorflow
cntk
big data
image classification
convolution neural networks
Ver mais