libri scuola books Fumetti ebook dvd top ten sconti 0 Carrello


Torna Indietro

scutari marco; malvestio mauro - the pragmatic programmer for machine learning
Zoom

The Pragmatic Programmer for Machine Learning Engineering Analytics and Data Science Solutions

;




Disponibilità: solo 1 copia disponibile, compra subito!

Se ordini entro 21 ore e 48 minuti, consegna garantita in 48 ore lavorative
scegliendo le spedizioni Express



PREZZO
58,40 €
NICEPRICE
55,48 €
SCONTO
5%



Questo prodotto usufruisce delle SPEDIZIONI GRATIS
selezionando l'opzione Corriere Veloce in fase di ordine.


Pagabile anche con Carta della cultura giovani e del merito, 18App Bonus Cultura e Carta del Docente


Facebook Twitter Aggiungi commento


Spese Gratis

Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 03/2025
Edizione: 1° edizione





Note Editore

Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this revolution both conceptually and in practical applictions. Comprising a broad overview of how to design machine learning pipelines as well as the state-of-the-art tools we use to make them, this book provides a multi-disciplinary view of how traditional software engineering can be adapted to and integrated with the workflows of domain experts and probabilistic models. From choosing the right hardware to designing effective pipelines architectures and adopting software development best practices, this guide will appeal to machine learning and data science specialists, whilst also laying out key high-level principlesin a way that is approachable for students of computer science and aspiring programmers.




Sommario

Preface 1 What is This Book About? 2 Hardware Architectures 3 Variable Types and Data Structures 4 Analysis of Algorithms 5 Designing and Structuring Pipelines 6 Writing Machine Learning Code 7 Packaging and Deploying Pipelines 8 Documenting Pipelines 9 Troubleshooting and Testing Pipelines 10 Tools for Developing Pipelines 11 Tools to Manage Pipelines in Production 12 Recommending Recommendations: A Recommender System Using Natural Language Understanding Bibliography Index




Autore

Marco Scutari is a Senior Researcher at Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Switzerland. He has held positions in statistics, statistical genetics and machine learning in the UK and Switzerland since completing his PhD in statistics in 2011. His research focuses on the theory of Bayesian networks and their applications to biological and clinical data, as well as statistical computing and software engineering. Mauro Malvestio is a senior technologist based in Milan, Italy, with more than 15 years of experience in software engineering and IT operations in consulting and product companies as a CTO. His research focuses on software engineering, machine learning systems, embedded systems and cloud computing.










Altre Informazioni

ISBN:

9780367255060

Condizione: Nuovo
Dimensioni: 9.25 x 6.25 in
Formato: Brossura
Illustration Notes:32 b/w images, 3 tables and 32 line drawings
Pagine Arabe: 340
Pagine Romane: xvi


Dicono di noi





Per noi la tua privacy è importante


Il sito utilizza cookie ed altri strumenti di tracciamento che raccolgono informazioni dal dispositivo dell’utente. Oltre ai cookie tecnici ed analitici aggregati, strettamente necessari per il funzionamento di questo sito web, previo consenso dell’utente possono essere installati cookie di profilazione e marketing e cookie dei social media. Cliccando su “Accetto tutti i cookie” saranno attivate tutte le categorie di cookie. Per accettare solo deterninate categorie di cookie, cliccare invece su “Impostazioni cookie”. Chiudendo il banner o continuando a navigare saranno installati solo cookie tecnici. Per maggiori dettagli, consultare la Cookie Policy.

Impostazioni cookie
Rifiuta Tutti i cookie
Accetto tutti i cookie
X