You're reading from Machine Learning Engineering with Python - Second Edition

Product typeBook

Published inAug 2023

Reading LevelIntermediate

PublisherPackt

ISBN-139781837631964

Edition2nd Edition

Languages

Python

Tools

GitHub PyTorch

Concepts

Machine Learning

Author (1)

Andrew P. McMahon

Index

Symbols

*args 147

**kwargs 147, 148

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 intelligence (AGI) 341

artificial intelligence (AI) 319

Artificial Neural Networks...

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Author (1)

Andrew P. McMahon

Andrew P. McMahon has spent years building high-impact ML products across a variety of industries. He is currently Head of MLOps for NatWest Group in the UK and has a PhD in theoretical condensed matter physics from Imperial College London. He is an active blogger, speaker, podcast guest, and leading voice in the MLOps community. He is co-host of the AI Right podcast and was named ‘Rising Star of the Year' at the 2022 British Data Awards and ‘Data Scientist of the Year' by the Data Science Foundation in 2019.
Read more about Andrew P. McMahon

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