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Advanced Data Analytics Using Python - With Architectural Patterns, Text and Image Classification, and Optimization Techniques (Paperback, 2nd ed.)
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Advanced Data Analytics Using Python - With Architectural Patterns, Text and Image Classification, and Optimization Techniques (Paperback, 2nd ed.)
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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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