Classical Machine Learning

Lingua: inglese

Editore: Palgrave Macmillan Jan 2027, 2027

3032043980 / 9783032043986

Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh

Venditore con 5 stelle

Venditore AbeBooks dal 13 marzo 2026

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Descrizione dell’articolo da parte del venditore

Neuware -The field of Artificial Intelligence (AI) has rapidly transformed in recent years, with Machine Learning being now one of its most impactful and widely applied branches. From intelligent recommendation systems to self-driving cars, and from language translation to medical diagnosis, Machine Learning now touches nearly every aspect of modern life. Yet, for those beginning their journey into AI, the field can feel daunting-particularly with the increasing complexity of deep learning and generative models. In the midst of this fast-paced evolution, it is easy to overlook the foundational ideas that make these breakthroughs possible.This book is written to bridge this gap and was born from the belief that a solid understanding of classical machine learning is not just helpful, but essential for truly grasping the advanced and modern models shaping today's AI landscape. The authors' goal is to explain classical models clearly and intuitively, while also providing hands-on Python implementations that bring these models to life and offering, as such, a balanced practical approach.The authors cover a wide range of foundational topics, from linear regression and logistic regression to decision trees, ensemble methods, clustering, dimensionality reduction, neural networks, and convolutional operations. Emerging ideas like Cubixel representation in image processing are also presented, providing a forward-looking perspective on evolving practices. Each chapter builds on the last, combining theory, math, and code in a way that is accessible to students, researchers, and professionals alike.The book assumes a working knowledge of Linear Algebra and Calculus, as many algorithms rely on these mathematical underpinnings. A solid foundation in Python is also recommended, since practical examples and implementations are written in Python with widely used libraries such as NumPy, pandas, scikit-learn, and TensorFlow. Whether you're an aspiring machine learning engineer, a data scientist transitioning from another field, or an academic looking to refresh your knowledge, this book aims to be a practical companion on your learning journey. 332 pp. Englisch.…

Codice articolo 9783032043986

Titolo
Classical Machine Learning
Autore
Sanad Aburass
Editore
Palgrave Macmillan Jan 2027
Anno di pubblicazione
2027
Condizione
Neu
Rilegatura
Buch
Lingua
inglese
ISBN 10
3032043980
ISBN 13
9783032043986
Peso dell'articolo
662 grammi
Dimensioni
241x160x24 mm

Books-by-Floh

Paderborn, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 13 marzo 2026

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
Primo articoloEUR 105,00EUR 130,00
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Books-by-Floh steht für ein breites, kuratiertes Buchsortiment aus einer Hand. Unser Fokus liegt auf Qualität, Vielfalt und zuverlässiger Abwicklung.
Wir führen Romane, Krimis, Thriller, Liebesromane, Lyrik, Anthologien, Mythologie, Fachbücher sowie Werke der Gegenwartsliteratur – für Leserinnen und Leser mit Anspruch.

Alle Artikel werden ausschließlich aus Deutschland versendet. Das garantiert kurze Lieferzeiten, transparente Prozesse und einen verlässlichen Service.
Unser Anspruch: unkomplizierter Einkauf, Bücher, die man gerne liest – heute und morgen.

Books-by-Floh – Bücher. Klar. Verlässlich.