Pragmatic Programmer for Machine Learning
portes grátis
Pragmatic Programmer for Machine Learning
Engineering Analytics and Data Science Solutions
Malvestio, Mauro; Scutari, Marco
Taylor & Francis Ltd
04/2025
340
Mole
Inglês
9780367255060
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.
scientific computing;R;Python;code;algorithms;computer vision;natural language processing;DBSCAN Cluster Algorithm;Software Defined Networking;Distributed Version Control Systems;Hyperparameter Tuning;Vice Versa;Version Control Systems;Jupyter Notebooks;Machine Learning Framework;Machine Learning Models;Glue Code;DBSCAN;Machine Learning;Deep Neural Networks;Machine Learning Software;Version Control;Technical Debt;Apache Spark;Machine Learning Systems;Non-zero Cells;Cpu Core;Cpu Cache;System Ram;Deep Neural Network Models;Floating Point Variables
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.
scientific computing;R;Python;code;algorithms;computer vision;natural language processing;DBSCAN Cluster Algorithm;Software Defined Networking;Distributed Version Control Systems;Hyperparameter Tuning;Vice Versa;Version Control Systems;Jupyter Notebooks;Machine Learning Framework;Machine Learning Models;Glue Code;DBSCAN;Machine Learning;Deep Neural Networks;Machine Learning Software;Version Control;Technical Debt;Apache Spark;Machine Learning Systems;Non-zero Cells;Cpu Core;Cpu Cache;System Ram;Deep Neural Network Models;Floating Point Variables
