Handbook of Research on Machine Learning Applications and Trends Algorithms Methods and Techniques

This book PDF is perfect for those who love Computers genre, written by Olivas, Emilio Soria and published by IGI Global which was released on 31 August 2009 with total hardcover pages 852. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Handbook of Research on Machine Learning Applications and Trends Algorithms Methods and Techniques books below.

Handbook of Research on Machine Learning Applications and Trends Algorithms Methods and Techniques

Author	: Olivas, Emilio Soria
File Size	: 45,6 Mb
Publisher	: IGI Global
Language	: English
Release Date	: 31 August 2009
ISBN	: 9781605667676
Pages	: 852 pages

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Handbook of Research on Machine Learning Applications and Trends Algorithms Methods and Techniques by Olivas, Emilio Soria Book PDF Summary

"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.

Handbook of Research on Machine Learning Applications and Trends Algorithms Methods and Techniques by Olivas, Emilio Soria,Guerrero, Jos David Mart¡n,Martinez-Sober, Marcelino,Magdalena-Benedito, Jose Rafael,Serrano L¢pez, Antonio Jos

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Handbook of Research on Emerging Trends and Applications of Machine Learning by Solanki, Arun,Kumar, Sandeep,Nayyar, Anand

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give

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Handbook of Research on Emerging Trends and Applications of Machine Learning by Anonim

As today's world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer

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Handbook of Research on Machine Learning Innovations and Trends by Hassanien, Aboul Ella,Gaber, Tarek

Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest

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Machine Learning Concepts Methodologies Tools and Applications by Management Association, Information Resources

"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe

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Handbook of Research on Machine and Deep Learning Applications for Cyber Security by Ganapathi, Padmavathi,Shanmugapriya, D.

As the advancement of technology continues, cyber security continues to play a significant role in todays world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information

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Machine Learning Applications by Rik Das,Siddhartha Bhattacharyya,Sudarshan Nandy

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine

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Trends of Data Science and Applications by Siddharth Swarup Rautaray,Phani Pemmaraju,Hrushikesha Mohanty

This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a

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