Machine Learning 1st Edition

Machine Learning, 1st Edition by T V Geetha and S Sendhilkumar is a clear, contemporary introduction to the concepts and techniques driving today’s data-driven world. Perfect for engineering students, aspiring data scientists, and professionals in India and beyond, this book breaks down complex ideas into accessible, real-world explanations.

You’ll find lucid coverage of core topics — supervised and unsupervised learning, regression, classification, clustering, optimization, and an introduction to neural networks — all presented with practical examples and step-by-step derivations. Emphasis on intuition helps readers understand not just how algorithms work, but why they work and when to apply them. Carefully graded exercises and conceptual questions reinforce learning and prepare readers for university exams and industry interviews.

What sets this edition apart is its balance of theory and application: clear mathematical foundations paired with illustrative case studies relevant to local and global contexts. Whether you’re studying machine learning as part of an undergraduate curriculum, preparing for competitive exams in India, or upskilling for roles in AI and data science, this title offers a dependable roadmap.

Well-structured chapters and concise summaries make revision efficient, while practical tips guide model selection and evaluation. Ideal for classroom use and self-study alike, this book equips you with the knowledge to tackle real projects and advance your career.

Secure your copy of Machine Learning, 1st Edition by T V Geetha and S Sendhilkumar today — a practical, authoritative guide to mastering machine learning fundamentals.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.