Engineering Mathematics and Artificial Intelligence 1st Edition

Engineering Mathematics and Artificial Intelligence — 1st Edition delivers a clear, contemporary bridge between rigorous mathematical foundations and practical AI concepts. Designed for undergraduates, graduate students, and practicing engineers, this edition makes complex theories accessible and directly applicable to modern data-driven problems.

Start with a concise, approachable presentation of essential topics—linear algebra, multivariable calculus, probability & statistics, optimization and numerical methods—then seamlessly connect them to cornerstone AI ideas like learning algorithms, model evaluation, and computational techniques. Each section balances intuition with formalism, helping readers build confidence and mastery rather than memorizing formulas.

Worked examples and progressive problem sets reinforce concepts and mirror real-world challenges faced in engineering, data science, and machine learning projects. Whether you’re preparing for advanced coursework, research, or industry roles, you’ll appreciate the emphasis on conceptual clarity, mathematical rigor, and practical relevance.

Ideal for classrooms and self-study across the US, UK, India, Canada, Australia, and beyond, this book provides a solid mathematical toolkit for anyone entering AI-related fields. Its professional yet accessible tone makes it a dependable reference for instructors, students, and professionals seeking to sharpen analytical skills and translate theory into solutions.

Ready to strengthen your mathematical foundation for artificial intelligence? Add Engineering Mathematics and Artificial Intelligence — 1st Edition to your library and take the next step toward smarter, mathematically grounded AI practice. Order now to advance your career and coursework with confidence.

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