Overview
Basic understanding of machine learning algorithms via MATLAB, R, and Python. Inclusion of examples related to real-world problems, case studies, and questions related to futuristic technologies.
Our book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with deep learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the machine and deep learning algorithms.
- | Author: Amit Tyagi, Khushboo Tripathi, Avinash Sharma
- | Publisher: BPB Publications
- | Publication Date: Jun 29, 2024
- | Number of Pages:
- | Language:
- | Binding: Paperback / softback
- | ISBN-13: 9789355516343
- | ISBN-10: 9355516347
