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Advanced Data Analytics Using Python

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

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Advanced Data Analytics Using Python Mukhopadhyay
Koda Libristo: 39332475
Založba APress, november 2022
Understand advanced data analytics concepts such as time series and principal component analysis wit... Celoten opis
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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 analytics with 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.

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O knjigi

Polni naslov Advanced Data Analytics Using Python
Avtor Mukhopadhyay, Sayan, Samanta, Pratip
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2022
Število strani 249
EAN 9781484280041
ISBN 1484280040
Koda Libristo 39332475
Založba APress
Teža 412
Mere 234 x 154 x 20

Kategorije

Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer programming / software engineering > Programming & scripting languages: general
Computing & Information Technology > Databases > Data capture & analysis
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