De Aller-Bedste Bøger - over 12 mio. danske og engelske bøger
Levering: 1 - 2 hverdage

Advances in Machine Learning for Big Data Analysis

Bag om Advances in Machine Learning for Big Data Analysis

This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811689321
  • Indbinding:
  • Paperback
  • Sideantal:
  • 260
  • Udgivet:
  • 26. februar 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x15x235 mm.
  • Vægt:
  • 400 g.
  • 8-11 hverdage.
  • 7. december 2024
På lager

Normalpris

Abonnementspris

- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding

Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.

Beskrivelse af Advances in Machine Learning for Big Data Analysis

This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems.
In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.

Brugerbedømmelser af Advances in Machine Learning for Big Data Analysis



Find lignende bøger