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Advanced Data Analytics Using Python (Softcover)
With Architectural Patterns, Text and Image Classification, and Optimization Techniques
Second Edition - Erschienen 26.11.2022 - Kartoniert, 268 Seiten, 235mm x 155mm x 15mm, Sprache(n): eng
Print on Demand. Lieferbar innerhalb von 7 bis 10 Tagen
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- 📚 Bücher
- Anbieter:
- MARZIES Buch- und Medienhandel
- Bestell-Nr.:
- A43666530
- Kategorie(n):
- Programmier- und Skriptsprachen, allgemein | Datenbanken | Künstliche Intelligenz | Maschinelles Lernen
- ISBN | EAN:
- 1484280040 | 9781484280041
- Stichworte:
- ApacheSpark, DataAnalytics, DeepLearning, Elasticsearch, NaturalLanguageProcessing, Python, RecurrentNeuralNetworks, machinelearning, reinforcementlearning, timeseries
- Zahlungsarten:
- Vorauskasse, PayPal
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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 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.
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.
Sayan Mukhopadhyay is a data scientist with more than 13 years of experience. He has been associated with companies such as Credit-Suisse, PayPal, CA Technology, CSC, and Mphasis. He has a deep understanding of data analysis applications in domains such as investment banking, online payments, online advertising, IT infrastructure, and retail. His area of expertise is applied high-performance computing in distributed and data-driven environments such as real-time analysis and high-frequency trading.
Pratip Samanta is a Principal AI engineer/researcher having more than 11 years of experience. He worked in different software companies and research institutions. He has published conference papers and granted patents in AI and Natural Language Processing. He is also passionate about gardening and teaching.
Pratip Samanta is a Principal AI engineer/researcher having more than 11 years of experience. He worked in different software companies and research institutions. He has published conference papers and granted patents in AI and Natural Language Processing. He is also passionate about gardening and teaching.
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