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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.)
Data Engineer
CEO / Founder / Entrepreneur
Sales Engineer
Data Analyst
ML Engineer
Application Developer
CIO / CTO
DevOps / Infrastructure Engineer
Data Scientist
Product Manager
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.)
Hyper-Parameter Optimization
Model Reproducibility
Amazon AI Services (ie. Polly, Comprehend)
Data Engineering and ETL
Model Deployment and Monitoring
Model Explainability
Data Pipelines
Automated Machine Learning (AutoML)
Data Ingestion and Exploration
Streaming Data
Model Training and Experiment Tracking
Business Intelligence and Reporting
Kubeflow and Kubernetes
Amazon SageMaker Models
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.)
Time Series Forecasting and Anomaly Detection
Reinforcement Learning
Object Detection and Segmentation
Natural Language Processing and Understanding
Recommendation and Personalization
Clustering and Nearest Neighbors
Classification and Regression
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.)
PyTorch
MXNet / Gluon
Scikit-Learn
Spark ML
TensorFlow / Keras
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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Current Progress,
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