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Can I read Computational Life Sciences : Data Engineering and Data Mining for Life Sciences on EtoBox?
Computational Life Sciences : Data Engineering and Data Mining for Life Sciences by Jens Dörpinghaus; Vera Weil; Sebastian Schaaf; Alexander Apke is a nonfiction available to read on EtoBox.
What is Computational Life Sciences : Data Engineering and Data Mining for Life Sciences about?
This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise. Erscheinungsdatum: 05.03.2023
Who reads Computational Life Sciences : Data Engineering and Data Mining for Life Sciences?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Jens Dörpinghaus; Vera Weil; Sebastian Schaaf; Alexander Apke
- Publisher
- Springer Nature Switzerland AG
- Published
- 2023
- Language
- EN
- ISBN
- 9783031084119
- Category
- nonfiction
- Subjects
- Engineering, Stem
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