<span><div>Machine learning (ML) has become a commonplace element in our everyday lives and aΒ standard tool for many fields of science and engineering. To make optimal use of ML, it isΒ essential to understand its underlying principles.Β </div><div><br></div><div>This book approaches ML as the computa
Methodologies, Frameworks, and Applications of Machine Learning
β Scribed by Pramod Kumar Srivastava, Ashok Kumar Yadav
- Publisher
- IGI Global
- Year
- 2024
- Tongue
- English
- Leaves
- 316
- Series
- Premier Reference Source
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: Reinforcement Learning
Chapter 2: Implementation of Different Machine Learning Projects Using Scikit-learn and Tensorflow Frameworks
Chapter 3: Methodology and Application of Information Technology for Carbon-Based Nano-Composites
Chapter 4: Towards an Intelligent Tomorrow
Chapter 5: Applications of Artificial Intelligence and Machine Learning in Achieving SDG 6, 7, and 14
Chapter 6: Role of Artificial Intelligence in Renewable Energy Management for Sustainable Development
Chapter 7: Waste-to-Energy Solutions Harnessing IoT and ML for Sustainable Power Generation in Smart Cities
Chapter 8: Prediction of Water Quality Using Machine Learning
Chapter 9: Engineering, Geology, Climate, and Socioeconomic Aspects' Implications on Machine Learning-Dependent Water Pipe Collapse Prediction
Chapter 10: Suggested Cyber-Security Strategy That Maximizes Automated Detection of Internet of Things Attacks Using Machine Learning
Chapter 11: Empowering Users
Chapter 12: A Comprehensive Analysis of Data Mining Tools for Biomedical Data Classification
Chapter 13: Disease Identification and Classification From Pearl Millet Leaf Images Using Machine Learning Techniques
Compilation of References
Related References
About the Contributors
Index
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