$230.00
L. Ashok Kumar, PhD (Author), S. Sumathi, PhD, Surekha Paneerselvam, PhD, Suresh Rajappa, PhD
Series: Computer Science, Technology and Applications
BISAC: COM094000; COM021030
DOI: https://doi.org/10.52305/XSMY1504
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms: A Practical Approach Using Python describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples.
The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalize these strategies. The book will benefit information professionals, programmers, consultants, professors, students, and industry experts who seek a variety of real-world illustrations with an implementation based on machine learning algorithms.
Preface
Acknowledgements
Chapter 1. Introduction
Chapter 2. Deep Learning
Chapter 3. Convolutional Neural Networks
Chapter 4. Recurrent Neural Networks
Chapter 5. Ensemble Learning
Chapter 6. Implementing DL and Ensemble Learning Models: Real World Use Cases
Appendix
Suggested Reading
About the Authors
Index
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