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Advanced Data Analytics Using Python

Name: Advanced Data Analytics Using Python
Brand: Springer Nature B.V.
SKU: 43407428
Price: 51.34 EUR
Availability: InStock
Author: Mukhopadhyay Sayan Mukhopadhyay
ISBN: 9781484280065

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

Mukhopadhyay Sayan Mukhopadhyay

Samanta Pratip Samanta

Jezik

Angleščina

Knjiga Mehka

Koda Libristo: 43407428

Založba Springer Nature B.V., november 2022

Understand advanced data analytics concepts such as time series and principal component analysis wit... Celoten opis

Koda Libristo: 43407428

124 b

51.34 €

Na zalogi pri dobavitelju Odposlali bomo v 10-18 dneh

30 dni za vračilo blaga

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.