Enabling Machine Learning Applications in Data Science Book [PDF] Download

Download the fantastic book titled Enabling Machine Learning Applications in Data Science written by Aboul Ella Hassanien, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Enabling Machine Learning Applications in Data Science", which was released on 27 May 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Enabling Machine Learning Applications in Data Science by Aboul Ella Hassanien PDF

This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21–23 June 2020. This book emphasizes the role and recent developments in the field of emerging technologies and artificial intelligence, and related technologies with a special focus on sustainable development in the Arab world. The book targets high-quality scientific research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning applications in data science.


Detail About Enabling Machine Learning Applications in Data Science PDF

  • Author : Aboul Ella Hassanien
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Total Pages : 404 pages
  • ISBN : 9813361298
  • PDF File Size : 8,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Enabling Machine Learning Applications in Data Science

Enabling Machine Learning Applications in Data Science
  • Publisher : Springer Nature
  • File Size : 25,7 Mb
  • Release Date : 27 May 2021
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This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21–23 June 2020. This book emphasizes the role and recent developments in the

Enabling AI Applications in Data Science

Enabling AI Applications in Data Science
  • Publisher : Springer Nature
  • File Size : 49,8 Mb
  • Release Date : 23 September 2020
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This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with

Data Engineering and Data Science

Data Engineering and Data Science
  • Publisher : John Wiley & Sons
  • File Size : 33,7 Mb
  • Release Date : 29 August 2023
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DATA ENGINEERING and DATA SCIENCE Written and edited by one of the most prolific and well-known experts in the field and his team, this exciting new volume is the “one-stop

Introduction to Data Science and Machine Learning

Introduction to Data Science and Machine Learning
  • Publisher : BoD – Books on Demand
  • File Size : 23,7 Mb
  • Release Date : 25 March 2020
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Introduction to Data Science and Machine Learning has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
  • Publisher : Academic Press
  • File Size : 49,7 Mb
  • Release Date : 21 June 2020
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Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into

Machine Learning

Machine Learning
  • Publisher : BoD – Books on Demand
  • File Size : 33,8 Mb
  • Release Date : 19 September 2018
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The volume of data that is generated, stored, and communicated across different industrial sections, business units, and scientific research communities has been rapidly expanding. The recent developments in cellular telecommunications

Industrial Applications of Machine Learning

Industrial Applications of Machine Learning
  • Publisher : CRC Press
  • File Size : 37,8 Mb
  • Release Date : 12 December 2018
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Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower