Handbook of Research on Applications and Implementations of Machine Learning Techniques
Seiten
2019
IGI Global (Verlag)
978-1-5225-9902-9 (ISBN)
IGI Global (Verlag)
978-1-5225-9902-9 (ISBN)
Provides innovative insights into the multi-disciplinary applications of machine learning algorithms for data analytics. This publication examines disease identification, neural networks, and language support, and is designed for professionals, developers, data analysts, technology specialists, practitioners, researchers, academics, and student.
Artificial intelligence is at the forefront of research and implementation in many industries including healthcare and agriculture. Whether it's detecting disease or generating algorithms, deep learning techniques are advancing exponentially. Researchers and professionals need a platform in which they can keep up with machine learning trends and their developments in the real world.
The Handbook of Research on Applications and Implementations of Machine Learning Techniques provides innovative insights into the multi-disciplinary applications of machine learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support. It is designed for IT professionals, developers, data analysts, technology specialists, R&D professionals, industrialists, practitioners, researchers, academicians, and students seeking research on deep learning procedures and their enactments in the fields of medicine, engineering, and computer science.
Artificial intelligence is at the forefront of research and implementation in many industries including healthcare and agriculture. Whether it's detecting disease or generating algorithms, deep learning techniques are advancing exponentially. Researchers and professionals need a platform in which they can keep up with machine learning trends and their developments in the real world.
The Handbook of Research on Applications and Implementations of Machine Learning Techniques provides innovative insights into the multi-disciplinary applications of machine learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support. It is designed for IT professionals, developers, data analysts, technology specialists, R&D professionals, industrialists, practitioners, researchers, academicians, and students seeking research on deep learning procedures and their enactments in the fields of medicine, engineering, and computer science.
| Erscheinungsdatum | 02.09.2019 |
|---|---|
| Verlagsort | Hershey |
| Sprache | englisch |
| Maße | 216 x 279 mm |
| Gewicht | 3 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 1-5225-9902-9 / 1522599029 |
| ISBN-13 | 978-1-5225-9902-9 / 9781522599029 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Eine praxisorientierte Einführung
Buch | Softcover (2025)
Springer Vieweg (Verlag)
CHF 53,15
Buch | Softcover (2025)
Reclam, Philipp (Verlag)
CHF 11,20
Eine kurze Geschichte der Informationsnetzwerke von der Steinzeit bis …
Buch | Hardcover (2024)
Penguin (Verlag)
CHF 39,95
