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portada Advanced Data Analytics Using Python
Type
Physical Book
Publisher
Author
Year
2022
Language
English
Pages
268
Format
Paperback
Dimensions
23.4x15.6 cm
ISBN13
9781484280065

Advanced Data Analytics Using Python

Pratip Samanta;Sayan Mukhopadhyay (Author) · Springer Nature B.V. · Paperback

Advanced Data Analytics Using Python - Pratip Samanta;Sayan Mukhopadhyay

New Book Imported to Taiwan
Delivery: 24 Sep - 02 Oct Shipping: 5 to 6 business days.
NT$ 1,907
NT$ 1,907

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Synopsis "Advanced Data Analytics Using Python"

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.

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