Skip to content
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."
*
1.
Which roles do you currently perform? (Maximum of 3)
(Required.)
DevOps / Infrastructure Engineer
CIO / CTO
CEO / Founder / Entrepreneur
Data Engineer
Data Analyst
Data Scientist
ML Engineer
Sales Engineer
Product Manager
Application Developer
Student
Other (please specify)
*
2.
Thinking about "Data Science on AWS", which topics, technologies, and AWS services would you like to see covered?
(Maximum of 4)
(Required.)
Data Engineering and ETL
Model Training and Experiment Tracking
Streaming Data
Model Explainability
Kubeflow and Kubernetes
Automated Machine Learning (AutoML)
Model Reproducibility
Data Ingestion and Exploration
Business Intelligence and Reporting
Hyper-Parameter Optimization
Amazon AI Services (ie. Polly, Comprehend)
Amazon SageMaker Models
Data Pipelines
Model Deployment and Monitoring
Feature Store
Other (please specify)
*
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)
*
4.
Which ML/AI use cases are you interested in? (Maximum of 3)
(Required.)
Object Detection and Segmentation
Recommendation and Personalization
Natural Language Processing and Understanding
Reinforcement Learning
Clustering and Nearest Neighbors
Classification and Regression
Time Series Forecasting and Anomaly Detection
Graph and Network Analysis
Other (please specify)
*
5.
What ML/AI frameworks would you like to see covered? (Maximum of 3)
(Required.)
Scikit-Learn
TensorFlow / Keras
Spark ML
PyTorch
MXNet / Gluon
XGBoost
Other (please specify)
*
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
*
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
0
1
2
3
4
5
6
7
8
9
10
8.
(OPTIONAL) Share your email to receive infrequent book updates including early releases and discount codes.
By providing your email address, you are giving consent to allow us to send you emails related to our book "Data Science on Amazon Web Services." You may unsubscribe from these emails at any time by using the unsubscribe instructions on a link at the bottom of such an email.
Current Progress,
0 of 8 answered