📘 Summary

This book provides a comprehensive introduction to machine learning concepts, techniques and real-world applications. It explains supervised, unsupervised and reinforcement learning, along with essential algorithms such as regression, classification, clustering and neural networks. The text emphasizes data preprocessing, model training, evaluation and optimization for building reliable predictive systems. With practical examples and case studies, it highlights how machine learning drives automation, decision-making and innovation across modern industries.

Product Details

• Publisher: Pencil Bitz Publications
• Edition: 1st Edition
• Language: English
• Binding: paperback
• Pages:206
• Dimensions: 24 x 18 x 1.5 cm
• Weight: 320g