Pragmatic Programmer for Machine Learning
portes grátis
Pragmatic Programmer for Machine Learning
Engineering Analytics and Data Science Solutions
Scutari, Marco; Malvestio, Mauro
Taylor & Francis Ltd
03/2023
340
Dura
Inglês
9780367263508
15 a 20 dias
Descrição não disponível.
Preface
1 What is This Book About?
2 Hardware Architectures
3 Variable Types and Data Structures
4 Analysis of Algorithms
5 Designing and Structuring Pipelines
6 Writing Machine Learning Code
7 Packaging and Deploying Pipelines
8 Documenting Pipelines
9 Troubleshooting and Testing Pipelines
10 Tools for Developing Pipelines
11 Tools to Manage Pipelines in Production
12 Recommending Recommendations: A Recommender
System Using Natural Language Understanding
Bibliography
Index
1 What is This Book About?
2 Hardware Architectures
3 Variable Types and Data Structures
4 Analysis of Algorithms
5 Designing and Structuring Pipelines
6 Writing Machine Learning Code
7 Packaging and Deploying Pipelines
8 Documenting Pipelines
9 Troubleshooting and Testing Pipelines
10 Tools for Developing Pipelines
11 Tools to Manage Pipelines in Production
12 Recommending Recommendations: A Recommender
System Using Natural Language Understanding
Bibliography
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
pipeline architecture;data engineering;probabilistic modelling;software testing methods;reproducible research;computational statistics;end-to-end machine learning pipelines
Preface
1 What is This Book About?
2 Hardware Architectures
3 Variable Types and Data Structures
4 Analysis of Algorithms
5 Designing and Structuring Pipelines
6 Writing Machine Learning Code
7 Packaging and Deploying Pipelines
8 Documenting Pipelines
9 Troubleshooting and Testing Pipelines
10 Tools for Developing Pipelines
11 Tools to Manage Pipelines in Production
12 Recommending Recommendations: A Recommender
System Using Natural Language Understanding
Bibliography
Index
1 What is This Book About?
2 Hardware Architectures
3 Variable Types and Data Structures
4 Analysis of Algorithms
5 Designing and Structuring Pipelines
6 Writing Machine Learning Code
7 Packaging and Deploying Pipelines
8 Documenting Pipelines
9 Troubleshooting and Testing Pipelines
10 Tools for Developing Pipelines
11 Tools to Manage Pipelines in Production
12 Recommending Recommendations: A Recommender
System Using Natural Language Understanding
Bibliography
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
