Alexander schaaf (113 résultats)

Etat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Etat : New.

Paperback or Softback. Etat : New. Digitales Publishing am Beispiel von WoodWing. Book.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Paperback or Softback. Etat : New. Werbung im Android OS. Book.

Etat : New.

Etat : New.

Etat : New.

Paperback or Softback. Etat : New. Neuheiten und Trends der Internationalen Funkausstellung 2009. Book.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Paperback or Softback. Etat : New. Open-Source-Lizenzen: Untersuchung der GPL, LGPL, BSD und Artistic License. Book.

Etat : New.

Etat : Fair. Taschenbuch. Zustandsangabe altersgemäß. Sofortversand aus Deutschland. Artikel wiegt maximal 500g. 98 Seiten. Einband mit Gebrauchsspuren sowie leicht beschädigt und leicht verfärbt.

Etat : Hervorragend. Zustand: Hervorragend | Seiten: 612 | Sprache: Englisch | Produktart: Bücher | 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.…

Taschenbuch. Etat : Neu. Computational Life Sciences | Data Engineering and Data Mining for Life Sciences | Jens Dörpinghaus (u. a.) | Taschenbuch | Studies in Big Data | xii | Englisch | 2024 | Springer | EAN 9783031084133 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…