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Название: Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques, 2nd Edition
Автор: Sayan Mukhopadhyay, Pratip Samanta
Издательство: Apress
Год: 2023
Страниц: 259
Язык: английский
Формат: pdf (true), epub (true)
Размер: 13.5 MB
Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing (NLP), and computer vision in the cloud environment. Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build Machine Learning and Deep Learning models using transfer learning.
Автор: Sayan Mukhopadhyay, Pratip Samanta
Издательство: Apress
Год: 2023
Страниц: 259
Язык: английский
Формат: pdf (true), epub (true)
Размер: 13.5 MB
Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing (NLP), and computer vision in the cloud environment. Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build Machine Learning and Deep Learning models using transfer learning.