Machine Learning Algorithms Using Scikit and TensorFlow Environments
Seiten
2023
Engineering Science Reference (Verlag)
978-1-6684-8532-3 (ISBN)
Engineering Science Reference (Verlag)
978-1-6684-8532-3 (ISBN)
Assists researchers in learning and implementing these critical algorithms. Key topics covered include classification, artificial neural networks, prediction, random forest, and regression analysis.
Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow.
Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow.
Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
| Erscheinungsdatum | 11.07.2023 |
|---|---|
| Verlagsort | Hershey, PA |
| Sprache | englisch |
| Maße | 216 x 279 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-6684-8532-X / 166848532X |
| ISBN-13 | 978-1-6684-8532-3 / 9781668485323 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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