Machine Learning
9780128174449-01-000
9780128174449-01-000
9780128174449
https://www.whsmith.co.uk/products/practical-guide-for-biomedical-signals-analysis-using-machine-learning-techniques-a-matlab-based-app/abdulhamit-subasi/paperback/9780128174449-01-000.html
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques A MATLAB Based Approach
By
Abdulhamit Subasi (Author)
Paperback
https://www.whsmith.co.uk/products/practical-guide-for-biomedical-signals-analysis-using-machine-learning-techniques-a-matlab-based-app/abdulhamit-subasi/paperback/9780128174449-01-000.html
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About the Author
Prof. Dr. Abdulhamit Subasi is specialized in Machine Learning, Data mining and Biomedical Signal Processing. Concerning application of machine learning to different fields, he wrote five book chapters and he has more than 130 papers in his field. He has been awarded with Queen Effat Award for Excellence in Research, May 2018. Since 2015, he is working as a Professor of Information Systems at Effat University, Jeddah, Saudi Arabia. He is working as director of Research and Consultancy Institute of Effat University. He has worked on several projects related to biomedical signal processing and pattern classification.
More Details
- Contributor: Abdulhamit Subasi
- Imprint: Academic Press Inc
- ISBN13: 9780128174449
- Number of Pages: 456
- Packaged Dimensions: 191x235mm
- Packaged Weight: 1220
- Format: Paperback
- Publisher: Elsevier Science Publishing Co Inc
- Release Date: 2019-03-19
- Binding: Paperback / softback
- Biography: Prof. Dr. Abdulhamit Subasi is specialized in Machine Learning, Data mining and Biomedical Signal Processing. Concerning application of machine learning to different fields, he wrote five book chapters and he has more than 130 papers in his field. He has been awarded with Queen Effat Award for Excellence in Research, May 2018. Since 2015, he is working as a Professor of Information Systems at Effat University, Jeddah, Saudi Arabia. He is working as director of Research and Consultancy Institute of Effat University. He has worked on several projects related to biomedical signal processing and pattern classification.
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