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."

Question Title

* 1. Which roles do you currently perform? (Maximum of 3)

CIO / CTO

Product Manager

Data Analyst

DevOps / Infrastructure Engineer

Sales Engineer

Application Developer

CEO / Founder / Entrepreneur

Data Scientist

Data Engineer

ML Engineer

Student

Other (please specify)

Question Title

* 2. Thinking about "Data Science on AWS", which topics, technologies, and AWS services would you like to see covered? (Maximum of 4)

Model Explainability

Business Intelligence and Reporting

Amazon SageMaker Models

Data Engineering and ETL

Streaming Data

Hyper-Parameter Optimization

Model Training and Experiment Tracking

Kubeflow and Kubernetes

Automated Machine Learning (AutoML)

Model Deployment and Monitoring

Data Pipelines

Data Ingestion and Exploration

Model Reproducibility

Amazon AI Services (ie. Polly, Comprehend)

Feature Store

Other (please specify)

Question Title

* 3. Which data stores do you find the most valuable for ML/AI? (Maximum of 3)

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)

Question Title

* 4. Which ML/AI use cases are you interested in? (Maximum of 3)

Time Series Forecasting and Anomaly Detection

Natural Language Processing and Understanding

Reinforcement Learning

Recommendation and Personalization

Classification and Regression

Clustering and Nearest Neighbors

Object Detection and Segmentation

Graph and Network Analysis

Other (please specify)

Question Title

* 5. What ML/AI frameworks would you like to see covered? (Maximum of 3)

Spark ML

Scikit-Learn

MXNet / Gluon

PyTorch

TensorFlow / Keras

XGBoost

Other (please specify)

Question Title

* 6. If "Data Science on AWS" were available today, how likely would you be to buy it?

Extremely likely

Very likely

Somewhat likely

Not so likely

Not at all likely

Question Title

* 7. How likely is it that you would recommend this book to a friend or colleague?

NOT AT ALL LIKELY

EXTREMELY LIKELY

Question Title

* 8. (OPTIONAL) Share your email to receive infrequent book updates including early releases and discount codes.

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