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Shulph Ink

Applications of Machine Learning and Deep Learning on Biological Data

Applications of Machine Learning and Deep Learning on Biological Data

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Geneticists, virologists, and bioinformaticians use this book as a high-level reference for advanced AI solutions in genetics, virology, and related life science areas.

Format: Hardback
Length: 200 pages
Publication date: 13 March 2023
Publisher: Taylor & Francis Ltd



Unique Selling Point:
Our company offers cutting-edge AI solutions for complex problems in genetics, virology, and other life science domains. By leveraging advanced algorithms and machine learning techniques, we provide researchers with powerful tools to accelerate their research and make groundbreaking discoveries.
Core Audience:
Our primary target audience consists of highly skilled and knowledgeable researchers in the field of bioinformatics. These individuals are responsible for analyzing vast amounts of genetic data and using advanced computational methods to uncover valuable insights and trends. Our AI solutions are designed to meet the specific needs of bioinformatics researchers, offering them the tools and resources they require to excel in their field.
Place in the Market:
Our high-level reference book on advanced applied technology stands out as a valuable resource for researchers and professionals seeking to stay at the forefront of their field. With a comprehensive coverage of the latest AI techniques and applications, our book provides a deep understanding of the potential of AI in solving complex life science problems. It serves as a go-to guide for researchers, students, and industry experts looking to leverage the power of AI to advance their research and achieve their goals.

Weight: 550g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032214375

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Shulph Ink now ships to Australia, Belgium, Canada, France, Germany, Ireland, Italy, India, Luxembourg Saudi Arabia, Singapore, Spain, Netherlands, New Zealand, United Arab Emirates, United States of America.

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