Price loading...

Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications

AI & Machine Learning

Price data last checked 103 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of DL for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine fundamental theory of Artificial Intelligence (AI), Machine Learning (ML) and DL with practical applications in Biology and Medicine. Certainly, the list of topics covered in this book is not exhaustive but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book finds a balance between theoretical and practical coverage of a wide range of issues in the field of biomedical data analysis, thanks to DL. The few published books on DL for biomedical data analysis either focus on specific topics or lack technical depth. The chapters presented in this book were selected for quality and relevance. The book also presents experiments that provide qualitative and quantitative overviews in the field of biomedical data analysis. The reader will require some familiarity with AI, ML and DL and will learn about techniques and approaches that deal with the most important and/or the newest topics encountered in the field of DL for biomedical data analysis. He/she will discover both the fundamentals behind DL techniques and approaches, and their applications on biomedical data. This book can also serve as a reference book for graduate courses in Bioinformatics, AI, ML and DL. The book aims not only at professional researchers and practitioners but also graduate students, senior undergraduate students and young researchers. This book will certainly show the way to new techniques and approaches to make new discoveries.

Product Specifications

Format: paperback
ASIN: 3030716783
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 15 July 2022
Listed Since: 17 June 2022

Barcode

No barcode data available

Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Springer Deep Learning for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics: 68 (Studies in Big Data, 68)

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics: Techniques and Applications (Biomedical Engineering)

Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Springer Deep Learning in Healthcare: Paradigms and Applications

Deep Learning In Biology And Medicine

Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

Academic Press - Predictive Modeling in Biomedical Data Mining

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Fundamentals of Machine Learning and Deep Learning in Medicine

Academic Press Deep Learning for Data Analytics Textbook

Handbook of Deep Learning in Biomedical Engineering: Techniques and Applications

Machine Learning and Deep Learning Techniques for Medical Science (Artificial Intelligence AI: Elementary to Advanced Practices)

Computational Intelligence for Genomics Data (Advances in Biomedical Informatics)

Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications: 18 (Learning and Analytics in Intelligent Systems, 18)

Natural Language Processing in Biomedicine: A Practical Guide (Cognitive Informatics in Biomedicine and Healthcare)

Deep Learning for Medical Applications with Unique Data

Machine Learning for Healthcare Applications

Springer Deep Learning in Healthcare: Paradigms and Applications

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics (Advances in Computer Vision and Pattern Recognition)

Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities

Biomedical Data Mining for Information Retrieval: Methodologies, Techniques, and Applications (Artificial Intelligence and Soft Computing for Industrial Transformation)