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Data Science on Amazon Web Services (O'Reilly Book, Early 2021)
Antje and Chris would love your valuable input on the upcoming O'Reilly Book "Data Science on Amazon Web Services."
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1.
Which roles do you currently perform? (Maximum of 3)
(Required.)
Sales Engineer
ML Engineer
CEO / Founder / Entrepreneur
CIO / CTO
Data Scientist
DevOps / Infrastructure Engineer
Product Manager
Application Developer
Data Analyst
Data Engineer
Student
Other (please specify)
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2.
Thinking about "Data Science on AWS", which topics, technologies, and AWS services would you like to see covered?
(Maximum of 4)
(Required.)
Automated Machine Learning (AutoML)
Model Explainability
Model Deployment and Monitoring
Amazon SageMaker Models
Streaming Data
Amazon AI Services (ie. Polly, Comprehend)
Kubeflow and Kubernetes
Model Training and Experiment Tracking
Model Reproducibility
Data Ingestion and Exploration
Data Engineering and ETL
Data Pipelines
Hyper-Parameter Optimization
Business Intelligence and Reporting
Feature Store
Other (please specify)
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3.
Which data stores do you find the most valuable for ML/AI? (Maximum of 3)
(Required.)
Data Warehouse and Data Lake (Redshift, Lake Formation)
NoSQL Database (DynamoDB, Managed Cassandra)
SQL Database (RDS, Aurora)
Data Stream (Kinesis, Managed Kafka)
Object Storage (S3, Glacier)
In-Memory Data Store (ElasticCache)
Other (please specify)
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4.
Which ML/AI use cases are you interested in? (Maximum of 3)
(Required.)
Natural Language Processing and Understanding
Classification and Regression
Object Detection and Segmentation
Time Series Forecasting and Anomaly Detection
Clustering and Nearest Neighbors
Reinforcement Learning
Recommendation and Personalization
Graph and Network Analysis
Other (please specify)
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5.
What ML/AI frameworks would you like to see covered? (Maximum of 3)
(Required.)
Scikit-Learn
PyTorch
TensorFlow / Keras
MXNet / Gluon
Spark ML
XGBoost
Other (please specify)
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6.
If "Data Science on AWS" were available today, how likely would you be to buy it?
(Required.)
Extremely likely
Very likely
Somewhat likely
Not so likely
Not at all likely
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7.
On a scale of 0 to 10,
How likely is it that you would recommend this book to a friend or colleague?
0 for Not at all likely, 10 for Extremely likely
(Required.)
Not at all likely
Extremely likely
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