Deep Dive Into Data Science

Name: Deep Dive Into Data Science
SKU: 7k8j2wk
Price: 104.28 USD
Availability: InStock

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Comprehensive academic textbook on Data Science & AI. Combines theory, applications, ethics, and future trends. Designed for students, professionals, and policymakers

Dettagli

Data di pubblicazione: Sep 12, 2025
Lingua: English
ISBN: 9781257789016
Categoria: Computer & tecnologia
Copyright: Tutti i diritti riservati - Licenza di copyright standard
Collaboratori: Di (autore): Richard Filandro

Specifiche

Pagine: 272
Tipo di rilegatura: Copertina rigida Copertina rigida
Colore del contenuto: Colore
Dimensioni: Lettera US (216 x 279 mm)

Parole chiave

Data science AI

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A proposito di Dr. Richard Filandro

Richard Filandro is an accomplished educator, programmer, author, and editor whose career bridges the foundational era of computing with the rapid transformations of the digital age. Often described as an “old-world programmer,” he belongs to that pioneering generation that learned to write code under strict technical constraints, when memory was scarce, computing power was limited, and efficiency was not optional but essential. Born with a natural aptitude for problem-solving, Richard developed an early fascination with the logic of machines and the elegance of programming. His formative years as a programmer were spent in an environment that valued discipline and precision. Unlike the modern software landscape, where libraries and frameworks abound, Richard’s early work demanded an intimate understanding of hardware, careful allocation of memory, and the crafting of algorithms that were as lean as they were durable. This background instilled in him a philosophy of programming rooted in clarity, efficiency, and respect for the craft. Beyond his technical achievements, Richard is equally recognized for his role as a mentor and collaborator. He has guided younger generations of programmers with patience and wisdom, emphasizing not only the mechanics of coding but also the philosophy behind it: that software should be elegant, purposeful, and enduring.

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