Advanced Data Analytics Using Python, 2nd Edition
eBook Details:
- Paperback: 266 pages
- Publisher: WOW! eBook; 2nd edition (November 26, 2022)
- Language: English
- ISBN-10: 1484280040
- ISBN-13: 978-1484280041
eBook Description:
Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques, 2nd Edition
Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This Advanced Data Analytics Using Python, 2nd Edition 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.
- 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
Advanced Data Analytics Using 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.
