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Machine Learning Engineering with Python - Second Edition
book

Machine Learning Engineering with Python - Second Edition

by Andrew P. McMahon
August 2023
Intermediate to advanced
462 pages
11h 20m
English
Packt Publishing
Content preview from Machine Learning Engineering with Python - Second Edition

Index

Symbols

*args 147

**kwargs 147, 148

A

abstraction 157

activation function 322

adaptive learning rate methods

AdaDelta 88

AdaGrad 88

Adam 88

RMSprop 88

advanced Airflow features

ETML pipeline, building with 405-417

Agile

versus Waterfall 51

Agile Manifesto

URL 49

Airflow DAG 75

Airflow role 242

reference link 242

Amazon CLI, configuring

reference link 215

Amazon SageMaker 246

Amazon Web Services (AWS) 39

Apache Airflow 232-235

CI/CD pipelines, setting up 244, 245

on AWS 235-243

used, for building pipelines 232

using, pros and cons 403

Apache Kafka 209

Apache Spark 206

Apache Storm 209

APIs

large language models (LLMs), consuming via 342-345

application

containerizing, with Docker 384, 385

app.py 378

Artifact store 247

artificial general ...

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Publisher Resources

ISBN: 9781837631964