Deep learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. One of the key reasons for this progress is the availability of highly flexible and developer friendly deep learning frameworks. In this workshop, we provide an overview of deep learning, focusing on getting started with the TensorFlow framework on AWS.
7. Amazon is Hiring!
Roles: Machine Learning Scientists, Research Scientists,
Machine Learning Managers, Research Managers, Software
Engineers, Software Development Managers, Product
Managers, Technical Program Managers etc!
Locations: Sunnyvale, Palo Alto, Pasadena, Seattle,
Pittsburgh, Boston, New York City, Aachen Germany,
Cambridge UK, Turin Italy, Hyderabad, India
9. Data Lakes from AWS
Analytics
• Unmatched durability, and availability at EB scale
• Best security, compliance, and audit capabilities
• Object-level controls for fine-grain access
• Fastest performance by retrieving subsets of data
• The most ways to bring data in
• 2x as many integrations with partners
• Analyze with broadest set of analytics & ML services
Machine
Learning
Real-time DataOn-premises
Data Lake
on AWS
MovementData Movement
10. Data Lakes, Analytics, and IoT Portfolio from
AWS
Broadest, deepest set of analytic services
Amazon SageMaker
AWS Deep Learning AMIs
Amazon Rekognition
Amazon Lex
AWS DeepLens
Amazon Comprehend
Amazon Translate
Amazon Transcribe
Amazon Polly
Amazon Athena
Amazon EMR
Amazon Redshift
Full-text search
Amazon Elasticsearch service
Amazon QuickSight
AWS Direct Connect
AWS Snowball
AWS Snowmobile
AWS Database Migration Service
AWS IoT Core
Amazon Kinesis Data Firehose
Amazon Kinesis Data Streams
Amazon Kinesis Video Streams
Data Lake
on AWS
Storage | Archival Storage | Data Catalog
AnalyticsMachine Learning
Real-time DataOn-premises MovementData Movement