Téléchargez le livre : Advanced Data Analytics Using Python

Advanced Data Analytics Using Python

With Architectural Patterns, Text and Image Classification, and Optimization Techniques

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Éditeur :

Apress


Paru le : 2022-11-25



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Description


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, 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. 


Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analyticswith reinforcement learning. Finally, the recommender system in PySpark explains how to optimize models for a specific application. 
What You'll Learn



Build intelligent systems for enterprise
Review time series analysis, classifications, regression, and clustering
Explore supervised learning, unsupervised learning, reinforcement learning, and transfer learning 
Use cloud platforms like GCP and AWS in data analytics
Understand Covers design patterns in Python 
Who This Book Is For



Data scientists and software developers interested in the field of data analytics.
Pages
249 pages
Collection
n.c
Parution
2022-11-25
Marque
Apress
EAN papier
9781484280041
EAN PDF
9781484280058
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
5540 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
46,34 €
EAN EPUB
9781484280058
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
8417 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
46,34 €
Sayan Mukhopadhyay is a data scientist with more than 13 years of experience. He has been associated with companies such as Credit-Suisse, PayPal, CA Technology, CSC, and Mphasis. He has a deep understanding of data analysis applications in domains such as investment banking, online payments, online advertising, IT infrastructure, and retail. His area of expertise is applied high-performance computing in distributed and data-driven environments such as real-time analysis and high-frequency trading.

Pratip Samanta is a Principal AI engineer/researcher having more than 11 years of experience. He worked in different software companies and research institutions. He has published conference papers and granted patents in AI and Natural Language Processing. He is also passionate about gardening and teaching.  

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