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