Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics is popular PDF and ePub book, written by R. Sujatha in 2021-09-22, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics can be Read Online from any device for your convenience.

Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics Book PDF Summary

Data science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of Big Data as well as Deep Learning systems. This book discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and decision-making. It also covers numerous applications in healthcare, education, communication, media, and entertainment. Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics offers innovative platforms for integrating Big Data and Deep Learning and presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval. FEATURES Provides insight into the skill set that leverages one’s strength to act as a good data analyst Discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and help in decision-making Covers numerous potential applications in healthcare, education, communication, media, and entertainment Offers innovative platforms for integrating Big Data and Deep Learning Presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval from Big Data This book is aimed at industry professionals, academics, research scholars, system modelers, and simulation experts.

Detail Book of Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics PDF

Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
  • Author : R. Sujatha
  • Release : 22 September 2021
  • Publisher : CRC Press
  • ISBN : 9781000454536
  • Genre : Technology & Engineering
  • Total Page : 216 pages
  • Language : English
  • PDF File Size : 18,5 Mb

If you're still pondering over how to secure a PDF or EPUB version of the book Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics by R. Sujatha, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.

Get Book

Big Data Analysis for Green Computing

Big Data Analysis for Green Computing Author : Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
Publisher : CRC Press
File Size : 19,7 Mb
Get Book
This book focuses on big data in business intelligence, data management, machine learning, cloud com...

Soft Computing Theories and Applications

Soft Computing  Theories and Applications Author : Rajesh Kumar,Ajit Kumar Verma,Tarun K. Sharma,Om Prakash Verma,Sanjay Sharma
Publisher : Springer Nature
File Size : 33,9 Mb
Get Book
This book focuses on soft computing and how it can be applied to solve real-world problems arising i...

Healthcare Big Data Analytics

Healthcare Big Data Analytics Author : Akash Kumar Bhoi,Ranjit Panigrahi,Victor, Hugo C. de Albuquerque,Rutvij H. Jhaveri
Publisher : Walter de Gruyter GmbH & Co KG
File Size : 35,5 Mb
Get Book
This book highlights how optimized big data applications can be used for patient monitoring and clin...

Third Congress on Intelligent Systems

Third Congress on Intelligent Systems Author : Sandeep Kumar,Harish Sharma,K. Balachandran,Joong Hoon Kim,Jagdish Chand Bansal
Publisher : Springer Nature
File Size : 23,9 Mb
Get Book
This book is a collection of selected papers presented at the Third Congress on Intelligent Systems ...