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HomeBooks, Movies and Music Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques Book by Pratip Samanta and Sayan Mukhopadhyay
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Books Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques Book by Pratip Samanta and Sayan Mukhopadhyay
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KSh 1,234
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"Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques" by Pratip Samanta and Sayan Mukhopadhyay is a comprehensive guide that delves into sophisticated data analytics concepts and practical implementations using Python.
The book covers a wide range of advanced topics including:
Architectural patterns in data analytics, emphasizing best practices and anti-patterns like the "hot potato" anti-pattern.
Text and image classification techniques, featuring feature engineering and business logic implementation.
Machine learning and deep learning models, including transfer learning.
Optimization techniques and algorithmic design patterns, with applications in reinforcement learning.
Time series analysis, principal component analysis, supervised and unsupervised learning, clustering, and regression.
Use of modern databases such as Neo4j, Elasticsearch, and MongoDB.
Leveraging cloud platforms like Google Cloud Platform (GCP) and Amazon Web Services (AWS) for scalable analytics.
Practical implementation of recommender systems using PySpark.
Designed for data scientists and software developers, the book combines theoretical foundations with hands-on examples, enabling readers to build intelligent, enterprise-level data analytics systems. It also addresses natural language processing and computer vision applications within cloud environments.
Overall, this book serves as an advanced resource for professionals seeking to deepen their expertise in Python-based data analytics, machine learning, and scalable system design.
Specifications
Key Features
"Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques" by Pratip Samanta and Sayan Mukhopadhyay is a comprehensive guide that delves into sophisticated data analytics concepts and practical implementations using Python.
The book covers a wide range of advanced topics including:
Architectural patterns in data analytics, emphasizing best practices and anti-patterns like the "hot potato" anti-pattern.
Text and image classification techniques, featuring feature engineering and business logic implementation.
Machine learning and deep learning models, including transfer learning.
Optimization techniques and algorithmic design patterns, with applications in reinforcement learning.
Time series analysis, principal component analysis, supervised and unsupervised learning, clustering, and regression.
Use of modern databases such as Neo4j, Elasticsearch, and MongoDB.
Leveraging cloud platforms like Google Cloud Platform (GCP) and Amazon Web Services (AWS) for scalable analytics.
Practical implementation of recommender systems using PySpark.
Designed for data scientists and software developers, the book combines theoretical foundations with hands-on examples, enabling readers to build intelligent, enterprise-level data analytics systems. It also addresses natural language processing and computer vision applications within cloud environments.
Overall, this book serves as an advanced resource for professionals seeking to deepen their expertise in Python-based data analytics, machine learning, and scalable system design.
What’s in the box
1 BOOK
Specifications
- SKU: BO086BM50BO1GNAFAMZ
- GTIN Barcode: 09781484280041
- Weight (kg): 1.4
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Books Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques Book by Pratip Samanta and Sayan Mukhopadhyay
KSh 1,234
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