Authorship

Publisher: RK Publications
Edition: 1st Edition, 2024

"Machine Learning Essentials and Applications" is a comprehensive guide that demystifies machine learning concepts, offering a structured approach for both beginners and professionals. Covering everything from fundamental principles to cutting-edge applications, this book bridges theoretical understanding with real-world implementation.

Key Highlights:

• Fundamental concepts in supervised, unsupervised, and reinforcement learning.
• Data preprocessing, feature engineering, and model evaluation techniques.
• Industry applications in healthcare, finance, energy, and retail.
• Deep learning, natural language processing (NLP), and computer vision.
• Practical implementation using Python, R, Scikit-learn, TensorFlow, and PyTorch.
• Ethical considerations, including bias, fairness, and transparency in ML.

Who Should Read This? This book is ideal for students, researchers, data scientists, and professionals looking to build a strong foundation in machine learning while gaining practical insights into its applications.