Vectorization A Practical Guide to Efficient Implementations of Machine Learning Algorithms

booksz

U P L O A D E R
c4ed8649dc67173a72c64b630cd7986d.webp

Free Download Vectorization: A Practical Guide to Efficient Implementations of Machine Learning Algorithms by Edward DongBo Cui
English | December 24th, 2024 | ISBN: 1394272944 | 445 pages | True PDF | 7.96 MB
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 elements
Vectorization in tensor multiplications and common linear algebraic routines, which form the backbone of many machine learning algorithms
* Masking 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.




Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Links are Interchangeable - Single Extraction
 
Kommentar

In der Börse ist nur das Erstellen von Download-Angeboten erlaubt! Ignorierst du das, wird dein Beitrag ohne Vorwarnung gelöscht. Ein Eintrag ist offline? Dann nutze bitte den Link  Offline melden . Möchtest du stattdessen etwas zu einem Download schreiben, dann nutze den Link  Kommentieren . Beide Links findest du immer unter jedem Eintrag/Download.

Data-Load.me | Data-Load.ing | Data-Load.to | Data-Load.in

Auf Data-Load.me findest du Links zu kostenlosen Downloads für Filme, Serien, Dokumentationen, Anime, Animation & Zeichentrick, Audio / Musik, Software und Dokumente / Ebooks / Zeitschriften. Wir sind deine Boerse für kostenlose Downloads!

Ist Data-Load legal?

Data-Load ist nicht illegal. Es werden keine zum Download angebotene Inhalte auf den Servern von Data-Load gespeichert.
Oben Unten