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Operating AI
book

Operating AI

by Ulrika Jagare
May 2022
Beginner to intermediate
272 pages
7h 46m
English
Wiley
Content preview from Operating AI

Index

 

A

  • A/B testing framework, 36
  • accountability
    • expressing for AI model outcomes, 198
    • MLOps and, 222
  • accuracy
    • of data, 44
    • used in model monitoring, 149
  • actionability, explainable AI (XAI) and, 194
  • adjusted R-Squared (adj R2), 150
  • AI/ML technology stack, 97–102
  • Airbnb, 68
  • alerts, model monitoring and, 176
  • AlphaGo (DeepMind), 95
  • Amazon Elastic Container Service (ECS), 114
  • Amazon Elastic Kubernetes Service (Amazon EKS), 114
  • Amazon Machine Learning (Amazon ML), 110
  • Amazon Redshift, 67
  • Amazon SageMaker, 120
  • Amazon SageMaker Clarify, 178
  • Amazon SageMaker Model Monitor, 177–178
  • Amazon Simple Storage Service (Amazon S3), as a technical skill for data engineers, 66–67
  • Amazon Web Services (AWS), as a technical skill for data engineers, 66
  • AMD Optimizing CPU Libraries (AOCL), in AI/ML technology stacks, 99
  • analytics, using on AI performance for human oversight, 197
  • anomalies, 6
  • Apache Airflow, 68
  • Apache Flume, 80
  • Apache Hadoop, as a technical skill for data engineers, 66
  • Apache Hadoop Distributed File System (HDFS), 57–58, 66–67
  • Apache Hive, 68
  • Apache JMeter, 112
  • Apache Kafka, 67, 80
  • Apache MXNet, MLOps and, 109
  • Apache Pulsar, 80
  • Apache Spark, 64, 65–66
  • application programming interfaces (APIs), 232, 233
  • application-specific-integrated circuits (ASICs), in AI/ML technology stacks, 99
  • architectural search and hyperparameter optimization, AI industrialization and, 132
  • architecture costs, of retraining, 160
  • Arize AI, 176
  • artificial general intelligence (AGI), 4, 209
  • artificial ...
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Publisher Resources

ISBN: 9781119833192Purchase Link