Muestra

Prime logotipo Exclusivo para miembros Prime: ¿Nuevo en Audible? Obtén 2 audiolibros gratis con tu prueba.
Elige 1 audiolibro al mes de nuestra inigualable colección.
Escucha todo lo que quieras de entre miles de audiolibros, Originals y podcasts incluidos.
Accede a ofertas y descuentos exclusivos.

Algorithms and Data Structures for Massive Datasets

De: Dzejla Medjedovic, Emin Tahirovic
Narrado por: Mark Thomas
Prueba por $0.00

$14.95 al mes después de 30 días. Cancela en cualquier momento.

Compra ahora por $19.95

Compra ahora por $19.95

la tarjeta con terminación
Al confirmar tu compra, aceptas las Condiciones de Uso de Audible y el Aviso de Privacidad de Amazon. Impuestos a cobrar según aplique.

Grandes primeros Títulos

Advanced Algorithms and Data Structures Audiolibro Por Marcello La Rocca arte de portada
Advanced Algorithms and Data Structures De: Marcello La Rocca
Designing Data-Intensive Applications Audiolibro Por Martin Kleppmann arte de portada
Designing Data-Intensive Applications De: Martin Kleppmann
The Pragmatic Programmer: 20th Anniversary Edition, 2nd Edition Audiolibro Por David Thomas, Andrew Hunt arte de portada
The Pragmatic Programmer: 20th Anniversary Edition, 2nd Edition De: David Thomas, y otros
Modern Software Engineering Audiolibro Por David Farley arte de portada
Modern Software Engineering De: David Farley
Staff Engineer Audiolibro Por Will Larson arte de portada
Staff Engineer De: Will Larson
Building Microservices Audiolibro Por Sam Newman arte de portada
Building Microservices De: Sam Newman
Articulating Design Decisions Audiolibro Por Tom Greever arte de portada
Articulating Design Decisions De: Tom Greever
AI and Machine Learning for Coders Audiolibro Por Laurence Moroney arte de portada
AI and Machine Learning for Coders De: Laurence Moroney
User Story Mapping Audiolibro Por Jeff Patton, Peter Economy - foreword arte de portada
User Story Mapping De: Jeff Patton, y otros
The Joy of x Audiolibro Por Steven Strogatz arte de portada
The Joy of x De: Steven Strogatz
Soft Skills Audiolibro Por John Sonmez arte de portada
Soft Skills De: John Sonmez
Solutions Architect's Handbook Audiolibro Por Saurabh Shrivastava, Neelanjali Srivastav arte de portada
Solutions Architect's Handbook De: Saurabh Shrivastava, y otros
Microservices Patterns Audiolibro Por Chris Richardson arte de portada
Microservices Patterns De: Chris Richardson
Deep Learning with Python (Second Edition) Audiolibro Por Francois Chollet arte de portada
Deep Learning with Python (Second Edition) De: Francois Chollet
The Kaggle Book Audiolibro Por Konrad Banachewicz, Luca Massaron arte de portada
The Kaggle Book De: Konrad Banachewicz, y otros
Deep Learning with Python Audiolibro Por Francois Chollet arte de portada
Deep Learning with Python De: Francois Chollet
Grokking Algorithms Audiolibro Por Aditya Bhargava arte de portada
Grokking Algorithms De: Aditya Bhargava
Core Kubernetes Audiolibro Por Jay Vyas, Chris Love arte de portada
Core Kubernetes De: Jay Vyas, y otros
Python for Data Science Audiolibro Por Tony F. Charles arte de portada
Python for Data Science De: Tony F. Charles
C# in Depth Audiolibro Por Jon Skeet arte de portada
C# in Depth De: Jon Skeet
Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python Audiolibro Por Hobson Lane, Hannes Hapke, Cole Howard arte de portada
Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python De: Hobson Lane, y otros
Naked Statistics Audiolibro Por Charles Wheelan arte de portada
Naked Statistics De: Charles Wheelan
The Well-Grounded Java Developer, Second Edition Audiolibro Por Benjamin Evans, Martijn Verburg, Jason Clark arte de portada
The Well-Grounded Java Developer, Second Edition De: Benjamin Evans, y otros
Data Science for Beginners Audiolibro Por Matt Foster arte de portada
Data Science for Beginners De: Matt Foster
Machine Learning Audiolibro Por Artus Duval arte de portada
Machine Learning De: Artus Duval
Functional Programming in Scala Audiolibro Por Paul Chiusano, Rúnar Bjarnason arte de portada
Functional Programming in Scala De: Paul Chiusano, y otros
Real-World Machine Learning Audiolibro Por Henrik Brink, Joseph Richards, Mark Fetherolf arte de portada
Real-World Machine Learning De: Henrik Brink, y otros
Machine Learning with Python Audiolibro Por Paige Jacobs arte de portada
Machine Learning with Python De: Paige Jacobs
Machine Learning Bookcamp Audiolibro Por Alexey Grigorev arte de portada
Machine Learning Bookcamp De: Alexey Grigorev
Algorithms of the Intelligent Web Audiolibro Por Douglas McIlwraith, Haralambos Marmanis, Dmitry Babenko arte de portada
Algorithms of the Intelligent Web De: Douglas McIlwraith, y otros

Resumen del Editor

Massive modern datasets make traditional data structures and algorithms grind to a halt. This fun and practical guide introduces cutting-edge techniques that can reliably handle even the largest distributed datasets.

In Algorithms and Data Structures for Massive Datasets you will learn:

  • Probabilistic sketching data structures for practical problems
  • Choosing the right database engine for your application
  • Evaluating and designing efficient on-disk data structures and algorithms
  • Understanding the algorithmic trade-offs involved in massive-scale systems
  • Deriving basic statistics from streaming data
  • Correctly sampling streaming data
  • Computing percentiles with limited space resources

Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics and hands-on industry examples make complex ideas practical to implement in your projects—and there’s no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you’ll find the sweet spot of saving space without sacrificing your data’s accuracy. Examples are in Python, R, and pseudocode.

About the technology

Standard algorithms and data structures may become slow—or fail altogether—when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost.

About the authors

Dzejla Medjedovic earned her PhD in the Applied Algorithms Lab at Stony Brook University, New York. Emin Tahirovic earned his PhD in biostatistics from University of Pennsylvania. Illustrator Ines Dedovic earned her PhD at the Institute for Imaging and Computer Vision at RWTH Aachen University, Germany.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2022 Manning Publications (P)2022 Manning Publications

Lo que los oyentes dicen sobre Algorithms and Data Structures for Massive Datasets

Calificaciones medias de los clientes
Total
  • 4 out of 5 stars
  • 5 estrellas
    0
  • 4 estrellas
    1
  • 3 estrellas
    0
  • 2 estrellas
    0
  • 1 estrella
    0
Ejecución
  • 4 out of 5 stars
  • 5 estrellas
    0
  • 4 estrellas
    1
  • 3 estrellas
    0
  • 2 estrellas
    0
  • 1 estrella
    0
Historia
  • 5 out of 5 stars
  • 5 estrellas
    1
  • 4 estrellas
    0
  • 3 estrellas
    0
  • 2 estrellas
    0
  • 1 estrella
    0

Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.