Téléchargez le livre : Vectorization

Vectorization

A Practical Guide to Efficient Implementations of Machine Learning Algorithms de

Éditeur :

Wiley-IEEE Press


Paru le : 2024-12-18

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Description

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problems
Offering insights across various domains such as computer vision and natural language processing, Vectorization covers the fundamental topics of vectorization including array and tensor operations, data wrangling, and batch processing. This book illustrates how the principles discussed lead to successful outcomes in machine learning projects, serving as concrete examples for the theories explained, with each chapter including practical case studies and code implementations using NumPy, TensorFlow, and PyTorch.
Each chapter has one or two types of contents: either an introduction/comparison of the specific operations in the numerical libraries (illustrated as tables) and/or case study examples that apply the concepts introduced to solve a practical problem (as code blocks and figures). Readers can approach the knowledge presented by reading the text description, running the code blocks, or examining the figures.
Written by the developer of the first recommendation system on the Peacock streaming platform, Vectorization explores sample topics including: Basic tensor operations and the art of tensor indexing, elucidating how to access individual or subsets of tensor elementsVectorization in tensor multiplications and common linear algebraic routines, which form the backbone of many machine learning algorithmsMasking and padding, concepts which come into play when handling data of non-uniform sizes, and string processing techniques for natural language processing (NLP)Sparse matrices and their data structures and integral operations, and ragged or jagged tensors and the nuances of processing them
From the essentials of vectorization to the subtleties of advanced data structures, Vectorization is an ideal one-stop resource for both beginners and experienced practitioners, including researchers, data scientists, statisticians, and other professionals in industry, who seek academic success and career advancement.
Pages
448 pages
Collection
n.c
Parution
2024-12-18
Marque
Wiley-IEEE Press
EAN papier
9781394272945
EAN PDF
9781394272969
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
448
Taille du fichier
7700 Ko
Prix
128,50 €
EAN EPUB
9781394272952
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
448
Taille du fichier
23357 Ko
Prix
128,50 €

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