What every engineer should know about data-driven analytics
What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of machine learning that are used in predictive data analytics. By introducing the theory and by providing practical applications, this text can be understood...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton
CRC Press
2023
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| Edition: | 1st |
| Series: | What every engineer should know
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- Data collection and cleaning
- Mathematical background for predictive analytics
- Introduction to statistics, probability, and information theory for analytics
- Introduction to machine learning
- Unsupervised learning
- Supervised learning
- Natural language processing for analyzing unstructured data
- Predictive analytics using deep neural networks
- Convolutional neural networks (CNN) for predictive analytics
- Recurrent neural networks (RNNs) for predictive analytics
- Recommender systems for predictive analytics
- Architecting big data analytical pipeline