Jayarin P Jesu (48 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book offers a comprehensive introduction to the fundamental principles, methodologies, and applications that define modern intelligent systems. It is designed as a complete guide for undergraduate and postgraduate students, educators, and professionals seeking a strong foundation in AI and ML concepts along with their real-world applications. The content is organized into five logically structured units, progressing from basic concepts to advanced computational techniques. Introduction to Unit 1: Artificial Intelligence, Unit 2: Machine Learning By integrating theory, mathematics, and hands-on implementation, Unit 3: Inclusive Machine Learning, Unit 4: Regression, Unit 5: Neural Networks. By integrating theory, mathematics, and hands-on implementation, this book delivers a balanced and engaging learning experience. It equips readers with the essential skills to design, train, and optimize AI and ML models while encouraging thoughtful exploration of innovation, ethics, and the transformative impact of intelligent technologies.…

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - El libro ofrece una introducción completa a los principios fundamentales, metodologías y aplicaciones que definen los sistemas inteligentes modernos. Está diseñado como una guía completa para estudiantes de pregrado y posgrado, educadores y profesionales que buscan una base sólida en conceptos de IA y ML junto con sus aplicaciones en el mundo real. El contenido está organizado en cinco unidades estructuradas lógicamente, progresando desde conceptos básicos hasta técnicas computacionales avanzadas. Introducción a la Unidad 1: Inteligencia Artificial, Unidad 2: Aprendizaje Automático Mediante la integración de teoría, matemáticas e implementación práctica, Unidad 3: Aprendizaje Automático Inclusivo, Unidad 4: Regresión, Unidad 5: Redes Neuronales. Al integrar teoría, matemáticas e implementación práctica, este libro ofrece una experiencia de aprendizaje equilibrada y atractiva. Equipa a los lectores con las habilidades esenciales para diseñar, entrenar y optimizar modelos de IA y ML, al tiempo que fomenta la exploración reflexiva de la innovación, la ética y el impacto transformador de las tecnologías inteligentes.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cet ouvrage offre une introduction complète aux principes fondamentaux, aux méthodologies et aux applications qui définissent les systèmes intelligents modernes. Il est conçu comme un guide complet pour les étudiants de premier et deuxième cycles, les enseignants et les professionnels souhaitant acquérir de solides bases en IA et en apprentissage automatique, ainsi que dans leurs applications concrètes. Le contenu est organisé en cinq unités structurées de manière logique, progressant des concepts de base aux techniques informatiques avancées. Unité 1 : Intelligence artificielle ; Unité 2 : Apprentissage automatique. En intégrant théorie, mathématiques et mise en pratique, Unité 3 : Apprentissage automatique inclusif ; Unité 4 : Régression ; Unité 5 : Réseaux de neurones. Grâce à cette approche intégrée, ce livre offre une expérience d'apprentissage équilibrée et stimulante. Il fournit aux lecteurs les compétences essentielles pour concevoir, entraîner et optimiser des modèles d'IA et d'apprentissage automatique, tout en encourageant une réflexion approfondie sur l'innovation, l'éthique et l'impact transformateur des technologies intelligentes.…

Condition: New. Print on Demand.